AI & Machine Learning

Anthropic Claude API

Anthropic's Claude LLM API providing text, vision, and tool-use capabilities across Claude 3.5 Sonnet, Claude 3 Opus, and Haiku model variants with up to 200K token context.

@modelcontextprotocol/server-memory

Anthropic's official reference MCP server for persistent agent memory using a local knowledge graph. Agents can create entities, relations, and observations that persist across sessions.

OpenAI Agents SDK

OpenAI's official Python SDK for building multi-agent systems — provides agents, tools, handoffs, tracing, and native MCP integration with a minimal, production-ready API.

Groq MCP Server (Official)

Official Groq MCP server enabling AI agents to use Groq's ultra-fast LLM inference API — running completions, chat, and structured outputs with Llama, Mixtral, and other open models at industry-leading speeds for latency-sensitive agent workflows.

DeepL API

Neural machine translation API that delivers human-quality translations across 30+ languages, with an official MCP server for agent integration.

PydanticAI

Type-safe Python agent framework by the Pydantic team — builds LLM-powered agents with strict type validation, dependency injection, structured outputs, and first-class tool support.

MCP Toolbox for Databases (Google)

Official Google MCP Toolbox for Databases enabling AI agents to interact with Google Cloud databases — querying Cloud SQL, Spanner, AlloyDB, and BigQuery; managing database connections with connection pooling; and integrating Google Cloud's managed database services into agent-driven data workflows with built-in security and performance optimizations.

ElevenLabs API

Industry-leading text-to-speech API with 1000+ voices, voice cloning, and ultra-low-latency streaming audio generation for voice AI applications.

Mentor MCP Server

MCP server providing AI mentoring and coaching capabilities, from cyanheads — a developer known for producing high-quality MCP servers. Enables AI agents to provide structured feedback, track learning progress, deliver coaching guidance, and support skill development through systematic mentoring interactions.

Milvus MCP Server (Official)

Official Milvus MCP server enabling AI agents to interact with Milvus/Zilliz vector database — managing collections, inserting and searching vectors, running hybrid search (scalar + vector), and integrating high-performance vector similarity search into agent workflows.

Exa MCP Server

Official MCP server from Exa that provides AI assistants with web search, code context retrieval, company research, people search, URL crawling, and an autonomous deep research agent. Available as both a hosted MCP endpoint and a local npm package.

Google Agent Development Kit (ADK)

Google's official open-source agent development framework — builds multi-agent systems with Gemini models, tool integration, memory, streaming, and deployment to Google Cloud.

Chroma MCP Server (Official)

Official Chroma MCP server enabling AI agents to interact with ChromaDB — adding and querying vector embeddings, managing collections, performing similarity search, and integrating vector storage into RAG-enabled agent workflows.

Gemini CLI

Google's open-source AI agent for the terminal that integrates Gemini models for code analysis, generation, automation, and general tasks. Supports MCP server integration, multimodal input, Google Search grounding, and deep GitHub workflow automation.

Mem0

Provides a long-term memory layer for AI agents that stores, retrieves, and manages structured memories using vector embeddings and an optional knowledge graph, enabling persistent personalization across sessions.

PAIML MCP Agent Toolkit

PAIML MCP Agent Toolkit — a Rust-based MCP server providing code quality and complexity analysis tools for AI agents — analyzing cyclomatic complexity, cognitive complexity, dead code detection, dependency graphs, and technical debt metrics across multiple programming languages, enabling agents to assess and improve codebase quality.

Groq Compound MCP Server

Official Groq Compound MCP server enabling AI agents to use Groq's ultra-fast LLM inference platform — running LLama, Mistral, Gemma, and other open-source models at extremely high speeds via Groq's LPU (Language Processing Unit) hardware. Enables agents to access Groq's unique combination of speed (hundreds of tokens/second) and broad model selection as a specialized reasoning and generation backend.

Anthropic Claude SDK / Agent SDK

Anthropic's official Python and TypeScript SDK for the Claude API — provides access to Claude models with tool use (function calling), extended thinking, computer use, and the Claude Agent SDK for building multi-agent pipelines with MCP-native support.

LangSmith MCP Server (Official)

Official LangSmith MCP server enabling AI agents to interact with LangSmith's LLM observability platform — querying traces, evaluating runs, managing prompts in the Prompt Hub, accessing datasets, and monitoring LLM application performance.

Mem0 MCP Server (Official)

Official Mem0 MCP server enabling AI agents to use Mem0's intelligent persistent memory layer — storing and retrieving memories for AI agents, personalizing responses based on user history, and providing long-term context management across agent sessions.

Weights & Biases MCP Server (Official)

Official Weights & Biases MCP server enabling AI agents to query and manage ML experiments, runs, metrics, artifacts, sweeps, and the model registry — integrating W&B's experiment tracking platform into AI-driven MLOps workflows.

Recraft MCP Server

Official Recraft MCP server enabling AI agents to use Recraft's AI design and image generation platform — creating high-quality images, illustrations, icons, and vector graphics from text prompts; generating brand-consistent visuals with style controls; creating SVG and raster images; and integrating professional AI design capabilities into agent-driven creative workflows.

Stagehand by Browserbase

AI-powered browser automation SDK built on Playwright that uses LLMs to interpret natural language instructions for web actions, making browser agents resilient to DOM changes without brittle CSS selectors.

Like I Said - Memory MCP Server

Memory persistence MCP server for AI agents — enabling agents to store, retrieve, and search memories across conversations. Provides local storage for facts, preferences, and context that persists beyond individual conversation sessions. Enables AI assistants to remember previous interactions, user preferences, project context, and learned information without relying on the LLM's ephemeral context.

Laravel MCP Server

Laravel MCP server enabling AI agents to interact with Laravel PHP applications — inspecting routes and controllers, querying Eloquent models, reading application structure, running Artisan commands, and integrating Laravel-specific development context into agent-driven web development, debugging, and code generation workflows.

OpenMemory MCP Server

OpenMemory MCP server from Mem0 providing a self-hosted, privacy-preserving persistent memory system for AI agents — storing and retrieving agent memories locally using Mem0's memory framework, enabling agents to maintain context across sessions without sending personal data to external services.

Cline MCP Memory Bank

Cline MCP Memory Bank enabling AI coding agents to maintain persistent project knowledge across sessions — storing project context, architectural decisions, coding conventions, and work-in-progress state in a structured memory bank, enabling Cline AI coding assistant (and other agents) to resume work with full project context without re-reading the entire codebase.

ElevenLabs MCP Server

ElevenLabs MCP server enabling AI agents to generate ultra-realistic voice audio — converting text to speech with emotion, cloning voices, selecting from 1000+ premade voices, and integrating high-quality TTS into agent workflows for narration, voice interfaces, and audio content generation.

LlamaCloud MCP Server (Official)

Official LlamaCloud MCP server enabling AI agents to interact with LlamaCloud's managed RAG pipeline — indexing documents, querying knowledge bases, managing pipelines, and accessing LlamaIndex's enterprise document processing platform.

Ollama MCP Server

Ollama MCP server enabling AI agents to use locally-running language models via Ollama — sending prompts to local Llama, Mistral, Gemma, and other models, running privacy-preserving inference without cloud API costs, and integrating local LLM capabilities into agent-driven workflows requiring data privacy or offline operation.

Google Gemini API

Google's multimodal LLM API providing text, image, audio, video, and code understanding across Gemini 2.0 and 1.5 model families via AI Studio or Vertex AI.

MCP Memory Server

MCP Memory server providing persistent memory and knowledge graph capabilities for AI agents — storing and retrieving facts, entities, and relationships across conversations, enabling agents to remember context between sessions, build up knowledge over time, and maintain long-term state without relying solely on in-context window memory.

Google Vertex AI MCP Server

Official Google Cloud Vertex AI MCP server enabling AI agents to access Google's Vertex AI platform — running inference on Gemini and other Model Garden models, accessing vector search, managing training jobs, and integrating Google Cloud's enterprise AI services into agent-driven ML workflow automation.

CrewAI

Python framework for orchestrating role-playing AI agents that collaborate on complex tasks — agents are assigned roles, goals, and tools, then work together as a 'crew'.

CrewAI Enterprise MCP Server (Official)

Official CrewAI Enterprise MCP server enabling AI agents to deploy and interact with CrewAI's enterprise multi-agent orchestration platform — managing crews, agents, and tasks; kicking off multi-agent workflows; retrieving execution results; and integrating CrewAI's collaborative agent framework into other MCP-based agent workflows.

Zotero MCP Server

Zotero MCP server enabling AI agents to interact with Zotero reference management software — searching and querying research library items, reading paper metadata and abstracts, managing collections, generating citations, and integrating Zotero's academic reference management into agent-driven research, writing, and literature review workflows.

Azure AI Agents MCP Server

Official Microsoft Azure AI Agents MCP server enabling AI agents to create and manage Azure AI Foundry agent runs, access Azure AI services (GPT-4o, DALL-E, embeddings), manage agent threads and conversations, and integrate Azure's enterprise AI infrastructure into MCP-based agentic workflows. Provides Azure-native agent orchestration through the MCP protocol.

Hugging Face MCP Server

Hugging Face MCP server enabling AI agents to interact with the Hugging Face ecosystem — running model inference via Inference API, searching and discovering models from the Hub, accessing datasets, and integrating the world's largest open model repository into agent workflows.

Coze MCP Server

Official Coze MCP server from ByteDance (coze-dev organization) enabling AI agents to interact with the Coze AI platform — calling Coze bots and workflows, accessing Coze's knowledge bases, triggering Coze plugins, and integrating Coze's multi-agent capabilities into external agent workflows. Coze is ByteDance's AI development platform popular in Asia.

Gemini MCP Server

Gemini MCP server by Philipp Schmid (Hugging Face developer advocate) enabling AI agents to use Google's Gemini language models — generating text, analyzing images, processing documents, and integrating Gemini's multimodal capabilities into agent workflows. Provides access to Gemini Pro and Gemini Flash models through a standard MCP interface.

Rememberizer MCP Server

Official MCP server from SkyDeck AI for Rememberizer — their AI memory and knowledge management service. Enables AI agents to store, retrieve, and search personal and team knowledge through Rememberizer's semantic memory system. Provides persistent AI memory across sessions by storing important information in Rememberizer's cloud knowledge base.

Dify MCP Plugin Server

Official Dify MCP plugin server enabling AI agents to interact with Dify — the open-source LLM application development platform — querying Dify workflows and chatbots, triggering automated pipelines, accessing Dify knowledge bases, managing applications, and integrating Dify's no-code/low-code AI application infrastructure into agent-driven workflows.

Letta MCP Server

Official Letta MCP server enabling AI agents to interact with Letta (formerly MemGPT) — the stateful agent framework with persistent memory management — creating and managing Letta agents, accessing long-term memory stores, adding and searching memories, running stateful agent conversations, and integrating Letta's memory-augmented agent infrastructure into MCP-based workflows.

Opik MCP Server (Official)

Official Opik MCP server enabling AI agents to interact with Opik's LLM observability and evaluation platform — querying traces, managing prompts, running evaluations, monitoring experiments, and integrating LLM observability into agent-driven MLOps workflows.

DeepSeek MCP Server

DeepSeek MCP server enabling AI agents to interact with DeepSeek language models — sending prompts to DeepSeek Chat and DeepSeek Coder models, executing code reasoning tasks, generating code completions, and integrating DeepSeek's cost-effective LLM capabilities into agent-driven coding assistance and AI inference workflows.

Sequential Thinking MCP Server

MCP server implementing sequential thinking and structured reasoning capabilities for AI agents. Provides tools for breaking complex problems into sequential steps, maintaining reasoning chains, tracking thought progressions, and supporting systematic problem decomposition — enhancing AI agent reasoning quality.

Glif MCP Server

Official Glif MCP server enabling AI agents to run Glif workflows — community-shared AI automation pipelines combining image generation, text processing, and other AI tools — providing access to thousands of user-created and curated AI workflows through a single MCP interface.

Ollama MCP Bridge

Ollama MCP Bridge enabling AI agents to use Ollama local LLMs as MCP tools — routing tool calls and LLM inference requests to locally-running Ollama models, enabling agents to delegate tasks to local models (Llama 3, Mistral, Phi, Gemma, etc.), and providing a bridge between MCP-based agent frameworks and Ollama's local inference API.

Whisper MCP Server

OpenAI Whisper MCP server enabling AI agents to transcribe audio and speech — converting audio files to text using OpenAI's Whisper model (locally or via API), processing audio from various formats (MP3, WAV, M4A, etc.), and integrating speech transcription capabilities into agent-driven workflows for meeting notes, podcast processing, voice command capture, and audio content analysis.

Atom of Thoughts MCP Server

Atom of Thoughts (AoT) MCP server implementing a structured reasoning methodology where complex problems are decomposed into atomic thought units — small, discrete reasoning steps that can be individually validated and composed. Enables AI agents to apply systematic, verifiable reasoning patterns by breaking problems into independent atoms that can be parallelized, cached, and reused across different problems.

Clear Thought MCP Server

MCP server providing structured reasoning and mental model frameworks to AI agents. Implements various thinking frameworks including first principles reasoning, second-order thinking, probabilistic reasoning, and other cognitive tools — helping AI agents reason more systematically and avoid common cognitive biases.

MCP Logic

MCP server providing formal logic and reasoning capabilities to AI agents. Enables agents to execute Prolog-style logical inference, validate logical constraints, perform knowledge base queries, and use formal logic for verification and reasoning tasks — extending LLM capabilities with symbolic reasoning.

Gemini MCP Server

MCP server wrapping Google's Gemini AI API. Enables AI agents to call Gemini models for text generation, multimodal analysis (text + images + video), code generation, and reasoning tasks. Provides a standardized MCP interface to Gemini's capabilities including Gemini Pro, Ultra, and Flash model variants.

DINO-X MCP Server

DINO-X MCP server from IDEA Research enabling AI agents to perform universal object detection and visual grounding — detecting any objects in images using open-vocabulary detection, grounding object descriptions to bounding boxes, and integrating DINO-X's state-of-the-art vision capabilities into agent-driven image analysis workflows.

Iron Manus MCP

Iron Manus MCP server providing multi-agent orchestration capabilities — managing task graphs, coordinating parallel agent execution, maintaining shared state between agents, and enabling complex multi-step workflows where multiple AI agents collaborate on a single task. Designed as an orchestration layer for building sophisticated agent pipelines using the MCP protocol.

Moondream MCP

Moondream MCP server enabling AI agents to use Moondream — a tiny but capable vision language model that runs locally. Provides image understanding capabilities (describing images, answering questions about images, detecting objects) that can run on CPU or modest hardware. Enables privacy-preserving local image analysis without cloud API dependencies.

ComfyUI MCP Server

ComfyUI MCP server enabling AI agents to interact with ComfyUI — the node-based Stable Diffusion workflow tool — queuing image generation jobs, executing ComfyUI workflows, retrieving generated images, and integrating ComfyUI's powerful image generation capabilities into agent-driven creative and image processing workflows.

Pipecat MCP Server

Official Pipecat MCP server enabling AI agents to integrate with Pipecat's real-time voice agent framework — controlling voice pipelines, managing speech-to-text and text-to-speech services, accessing conversation state from Pipecat voice agents, and enabling agent-driven orchestration of real-time conversational AI applications built on the Pipecat framework.

MiniMax MCP Server (JavaScript)

Official MiniMax MCP server (JavaScript) enabling AI agents to access MiniMax's multimodal AI capabilities — text-to-speech with voice cloning, speech-to-text, image generation, video generation, and music generation — integrating MiniMax's Chinese AI platform into agent-driven content creation workflows.

Claude Code Gemini MCP

MCP server bridging Claude Code and Google Gemini — enabling Claude Code to call Gemini models for tasks like large context window processing, code review, alternative AI perspectives, or multi-model validation. Allows Claude agents to delegate specific tasks to Gemini (e.g., analyzing very long documents exceeding Claude's context) and incorporate Gemini's responses into agent workflows.

YOLO MCP Server

MCP server integrating YOLO (You Only Look Once) object detection into AI agent workflows. Enables agents to perform real-time object detection on images and video streams using YOLOv8/v11 models — detecting, classifying, and localizing objects — supporting computer vision applications including surveillance, industrial inspection, and autonomous systems research.

Kollektiv MCP Server

Kollektiv MCP server providing collective intelligence infrastructure for multi-agent systems — enabling groups of AI agents to share knowledge, coordinate decisions, aggregate findings, and collectively solve problems that benefit from multiple independent agent perspectives. Provides mechanisms for agent voting, consensus building, knowledge sharing, and collective memory in multi-agent workflows.

Serverless RAG MCP Server

MCP server providing serverless RAG (Retrieval Augmented Generation) capabilities from Sionic AI. Enables AI agents to perform semantic search and retrieval over knowledge bases without managing vector database infrastructure — Sionic AI handles the embedding, indexing, and retrieval pipeline as a managed service.

MCPollinations

MCP server integrating Pollinations.ai — a free, no-API-key AI generation platform — enabling agents to generate images, text, and audio without authentication or cost. Pollinations.ai provides free access to open-source models (Stable Diffusion, Flux, and others) for image generation, text completion, and music creation through simple URL-based API calls.

Google Cloud Translation API

Google Cloud's machine translation API supporting 130+ languages, available as both a basic REST API and an advanced neural model with glossary and batch support.

Lambda Labs Cloud API

GPU cloud computing API providing on-demand and reserved access to NVIDIA H100, A100, and V100 GPU clusters for ML training, fine-tuning, and inference workloads.

PDF RAG MCP Server

MCP server providing PDF document ingestion and RAG (Retrieval Augmented Generation) capabilities. Enables AI agents to ingest PDF files, create vector embeddings, and perform semantic search over PDF content — grounding agent responses with specific document knowledge from PDF libraries.

Dify MCP Server

Dify MCP server enabling AI agents to interact with Dify LLM application platform — executing Dify workflows and chatbot conversations, querying knowledge bases, triggering AI pipelines, and integrating Dify's no-code AI application capabilities into agent-driven AI workflow orchestration and LLM application execution.

Gemini MCP Server

Gemini MCP server enabling AI agents to call Google's Gemini AI models — sending prompts for text generation, image understanding via multimodal input, running Gemini Pro/Flash models for reasoning and analysis, and integrating Google's AI capabilities into agent-driven workflows that benefit from Gemini's unique capabilities.

iFlytek Workflow MCP Server

Official MCP server from iFlytek (iflytek org) — one of China's leading AI companies, known for voice AI and language technology. Enables AI agents to interact with iFlytek's workflow platform, triggering and managing AI-powered workflows, integrating with iFlytek's language models and AI services through their agentic workflow system.

Codex MCP Server

MCP server that wraps OpenAI's Codex (code generation) capabilities, enabling AI agents to call Codex for code generation, completion, and transformation tasks via the MCP protocol. Bridges the gap between MCP-based agent workflows and OpenAI's Codex code generation engine.

Delphi MCP Server

Official Delphi MCP server enabling AI agents to interact with Delphi — a platform for creating AI-powered digital twins and expert knowledge clones — querying personalized AI personas trained on expert knowledge, accessing domain-specific answers from Delphi-trained experts, and integrating expert knowledge systems into agent-driven research and consultation workflows.

DeepSeek-Claude MCP Server

MCP server bridging DeepSeek's reasoning models (DeepSeek-R1, DeepSeek-V3) with Claude-based agents — enabling Claude to delegate complex reasoning tasks to DeepSeek models, use DeepSeek's chain-of-thought capabilities, and integrate DeepSeek's cost-effective high-performance models into Claude-driven workflows as specialized reasoning tools.

Luma AI MCP

Luma AI MCP server enabling AI agents to use Luma Labs' generative AI capabilities — generating videos with Dream Machine (text-to-video and image-to-video), creating 3D assets from images using Luma's NeRF/3DGS technology, and integrating AI video and 3D generation into agent-driven creative workflows.

scikit-learn

The canonical Python machine learning library for traditional (non-deep-learning) ML, providing a consistent fit/predict API across classification, regression, clustering, dimensionality reduction, preprocessing, and pipeline construction.

GPT Researcher MCP Server

MCP server wrapper around GPT Researcher that exposes deep research, quick search, report writing, and source retrieval as MCP tools. Supports STDIO, SSE, and Streamable HTTP transports for integration with Claude Desktop and other MCP clients.

Gemini Search MCP Server

MCP server integrating Google Gemini's search grounding capability — enabling AI agents to perform web searches using Google's search infrastructure via the Gemini API, with results grounded in real-time web content. Provides up-to-date information search with Google's index quality and Gemini's synthesis capabilities for research and information retrieval tasks.

PydanticAI

Type-safe Python AI agent framework built on Pydantic that enforces runtime validation of LLM outputs, provides structured result models, dependency injection for testability, and multi-provider LLM support.

Image Gen MCP

Image generation MCP server focused on local/self-hosted AI image generation — integrating with ComfyUI, Stable Diffusion WebUI (Automatic1111), or similar local image generation backends. Enables AI agents to generate images locally without cloud costs, maintaining full privacy and control over generated content and model selection.

DeepSeek R1 MCP Server

DeepSeek R1 MCP server enabling AI agents to access DeepSeek R1 — the powerful open-source reasoning model from DeepSeek — for extended thinking and chain-of-thought reasoning tasks, integrating DeepSeek's competitive reasoning capabilities into agent workflows that need deep analysis.

DDGS

Metasearch Python library that aggregates results from multiple search engines (Bing, Brave, DuckDuckGo, Google, Mojeek, Yandex, Yahoo, Wikipedia) into a unified interface. Supports text, image, video, news, and book searches. Includes an MCP server with HTTP and SSE transports, plus a standalone API server.

Modular RAG MCP Server

Modular RAG MCP server providing a flexible, composable Retrieval-Augmented Generation system for AI agents — supporting multiple vector stores (Chroma, Pinecone, etc.), embedding models, and retrieval strategies, enabling agents to query and maintain knowledge bases with configurable RAG pipeline components.

MCP RAG Server

MCP RAG server enabling AI agents to perform retrieval-augmented generation — indexing documents into a vector store, performing semantic similarity search, retrieving relevant document chunks, and providing agents with grounded, cited answers from a knowledge base of ingested documents for question-answering and information retrieval workflows.

OpenAI API

OpenAI REST API — industry-leading AI platform enabling agents to invoke GPT-4o and other models for text generation, vision, function calling, structured outputs, as well as embeddings, image generation (DALL-E), speech-to-text (Whisper), and text-to-speech.

Optuna

Open-source hyperparameter optimization (HPO) framework using a 'define-by-run' API. Unlike grid search or random search, Optuna uses efficient algorithms (TPE, CMA-ES) to intelligently explore the hyperparameter space. Supports distributed optimization across multiple machines, pruning (early stopping of unpromising trials), and integration with any ML framework (PyTorch, TensorFlow, XGBoost, etc.). Also used for general black-box optimization beyond ML hyperparameters.

VisionCraft MCP Server

VisionCraft MCP server enabling AI agents to generate images using multiple AI image generation models — integrating Stable Diffusion, FLUX, and other text-to-image models via VisionCraft API, managing generation parameters (resolution, steps, CFG scale, LoRA), and embedding image generation capabilities into agent-driven creative and content workflows.

Gemini Image Generator MCP Server

MCP server for Google Gemini AI image generation capabilities. Enables AI agents to generate images using Google's Gemini/Imagen models via the Gemini API — producing images from text prompts, supporting creative workflows, content generation, and multimodal AI applications.

Retell AI MCP Server

MCP server for Retell AI — a platform for building AI-powered voice agents and phone call automation. Enables AI agents to interact with Retell AI's API — creating voice agents, initiating calls, monitoring call status, retrieving transcriptions, and managing voice AI workflows for customer service, sales, and communication automation.

Image Generation MCP Server

Image generation MCP server enabling AI agents to generate images using AI models (DALL-E, Stable Diffusion, and others) — creating images from text prompts, generating variations, editing images with inpainting, and integrating AI image generation into agent workflows for content creation, design prototyping, and visual storytelling.

LocalLama MCP

Local LLM routing MCP server that intelligently routes AI tasks between local models (via Ollama) and cloud models based on task complexity and cost — using local Ollama models for simpler tasks and escalating to cloud APIs only when needed. Enables cost optimization by running cheaper tasks locally while keeping expensive frontier model calls for complex reasoning.

SciPy

Core scientific computing library for Python built on NumPy. SciPy provides algorithms for optimization (minimize, curve_fit), statistics (statistical tests, distributions), signal processing (FFT, filters), linear algebra, interpolation, integration, and sparse matrices. The foundational library for scientific and mathematical computing in Python — used by virtually every scientific Python stack.

Zep

Long-term memory service for AI agents and LLM applications. Zep stores, enriches, and retrieves conversation history and user facts for agents. Automatically extracts facts, preferences, and summaries from conversations, building a per-user memory graph. Enables agents to remember users across sessions and retrieve contextually relevant memories at inference time.

Instructor

Patches LLM clients (OpenAI, Anthropic, Gemini, Cohere, etc.) to return validated Pydantic model instances instead of raw text, with automatic retry on validation failure.

Inkeep Agents

A platform for building AI agents through either a no-code visual builder or a TypeScript SDK, with bidirectional sync between both interfaces, MCP tool support, and deployment via Vercel or Docker.

SillyTavern MCP Server

MCP server integrating with SillyTavern — the popular AI roleplay and character chat frontend. Enables AI agents to interact with SillyTavern's character management, conversation history, and LLM backends — bridging SillyTavern's rich roleplay ecosystem with MCP-based agent workflows.

Matplotlib

Comprehensive Python library for creating static, animated, and interactive visualizations. Matplotlib provides a MATLAB-like API (pyplot) for quick plots and an object-oriented API for fine-grained control. Produces publication-quality figures in PNG, PDF, SVG. The foundational visualization library in Python's scientific stack — seaborn and pandas plotting are built on matplotlib.

OpenRouter Deep Research MCP

OpenRouter Deep Research MCP server combining OpenRouter's multi-model AI routing with deep research capabilities — enabling AI agents to conduct systematic multi-step research using the best available models from OpenRouter's catalog (Claude, GPT-4, Gemini, Mistral, etc.). Orchestrates complex research workflows by selecting optimal models for different research subtasks.

PyTorch

Meta's open-source deep learning framework for building and training neural networks with dynamic computation graphs, GPU acceleration, and a rich ecosystem of tools.

AutoGen MCP Server

MCP server for Microsoft AutoGen enabling AI agents to create and manage AutoGen multi-agent collaborative workflows. Allows AI assistants to orchestrate AutoGen agents that collaborate and solve problems through natural language — creating meta-agent systems where one agent (via MCP) manages other AutoGen agents.

MCP Summarization Functions

MCP server providing text summarization capabilities to AI agents. Enables agents to summarize long documents, articles, and text content — useful for condensing large context windows, processing long-form content, and creating summaries of files, URLs, or text blocks within AI workflows.

Dify App as MCP Server

MCP server that exposes Dify AI application workflows as MCP tools. Dify is an open-source LLM app development platform. This bridge lets AI agents call Dify apps (chatbots, RAG pipelines, agents) as MCP tools — enabling composition of Dify-built AI workflows into MCP-based agent systems.

Haystack

Open source Python LLM framework for building production RAG pipelines and agentic applications using a composable component architecture with support for multiple LLM and document store backends.

PyTorch Lightning

High-level PyTorch training framework that eliminates boilerplate code for distributed training, gradient accumulation, mixed precision, checkpointing, and logging. Researchers and engineers define only the model logic in a LightningModule class; Lightning handles the training loop, hardware abstraction (CPU, GPU, TPU, multi-node), and integrations with experiment trackers (W&B, MLflow, TensorBoard, Comet). Makes PyTorch research code reproducible and scalable from laptop to cluster with minimal code changes.

Ultralytics YOLO

State-of-the-art real-time object detection — YOLOv8/YOLOv9/YOLOv10/YOLO11 models for detection, segmentation, pose estimation, and classification. Ultralytics features: YOLO class with pretrained models (yolov8n.pt to yolov8x.pt), model.predict() for inference, model.train() for fine-tuning, model.val() for evaluation, model.export() to ONNX/TensorRT/CoreML/TFLite, multi-task models (detect/segment/classify/pose), results with bounding boxes, masks, keypoints, and confidence scores, video/webcam/stream inference, and Python API + CLI. 1-50ms inference per image on GPU. Most popular object detection library — 30M+ downloads.

librosa

Python audio and music analysis library — NumPy-based audio feature extraction and signal processing. librosa features: librosa.load() (audio loading with resampling), librosa.feature.melspectrogram(), librosa.feature.mfcc(), librosa.feature.chroma_stft(), librosa.beat.beat_track() (tempo and beats), librosa.onset.onset_detect(), librosa.effects.pitch_shift() and time_stretch(), librosa.stft() and librosa.istft(), librosa.display for visualization, harmonic/percussive source separation, and 50+ audio feature functions. NumPy-based — integrates with matplotlib for visualization and scikit-learn for ML. Standard audio analysis library for music information retrieval and audio ML feature extraction.

Anthropic Claude Agent SDK

Official Python SDK for building agentic applications with Claude models, featuring built-in tool use, multi-turn conversations, MCP client support, streaming, and computer use capabilities.

Gemini CLI MCP Server

Gemini CLI MCP server enabling AI agents to interact with Google's Gemini CLI tool — running Gemini AI queries, code generation, and analysis tasks through the Gemini CLI interface, integrating Google's Gemini models into agent-driven workflows where direct Gemini API access isn't available or where Gemini CLI-specific features are needed.

MCP LLM Server

MCP LLM server enabling AI agents to call other LLMs as tools — querying OpenAI, Anthropic, and other LLM providers from within an agent workflow, enabling multi-model architectures where one LLM orchestrates tasks delegated to other LLMs, facilitating model comparison, specialized sub-agent invocation, and cross-provider reasoning chains.

Grok 2 Image MCP Server

Grok 2 Image MCP server enabling AI agents to generate images using xAI's Grok 2 image generation API (powered by Aurora/Flux models) — creating images from text prompts and integrating xAI's image generation capabilities into agent-driven creative and content workflows.

Hugging Face Accelerate

Abstracts PyTorch distributed training setup so the same training script runs unchanged across single CPU, single GPU, multi-GPU, and TPU with minimal code modifications.

Agno

Model-agnostic, async-first Python agent framework with built-in team orchestration, multimodal support, memory, and persistent storage — the official successor to Phidata.

Anthropic Claude API

Anthropic's direct API for Claude models (Haiku, Sonnet, Opus) with text, vision, tool use, streaming, and Prompt Caching for cost-efficient long-context agent workflows.

OpenAI Images API (DALL-E)

OpenAI's image generation API — creates images from text prompts via DALL-E 3, edits existing images, and generates variations. Also provides GPT-4 Vision for image understanding via the Chat Completions API.

Supervision

Computer vision utility library — post-processing, annotation, and tracking for detection/segmentation models. Supervision features: sv.Detections dataclass (unified format for YOLO, SAM, DETR outputs), annotators (BoundingBoxAnnotator, LabelAnnotator, MaskAnnotator, HeatMapAnnotator), object tracking (ByteTrack, SORT), zone analysis (PolygonZone for counting objects in regions), sv.VideoInfo and VideoSink for video processing, dataset utilities (sv.DetectionDataset), COCO/Pascal VOC format conversion, sv.FPSMonitor, line zone crossing detection, and sv.process_video() helper. Framework-agnostic post-processing layer that works with YOLO, SAM, CLIP, Grounding DINO, and any detection model.

Cerebra Legal MCP Server

MCP server for Cerebra legal AI platform — an AI-powered legal research and document analysis system. Enables AI agents to search legal databases, analyze legal documents, find case law, research statutes, and leverage AI-powered legal intelligence for legal workflows and due diligence.

NVIDIA RAPIDS

GPU-accelerated data science library suite from NVIDIA. Core libraries: cuDF (GPU DataFrame like pandas), cuML (GPU ML algorithms like scikit-learn), cuGraph (GPU graph analytics), and Dask integration for multi-GPU scaling. RAPIDS dramatically accelerates data preprocessing and ML training — 10-100x speedups over CPU pandas/sklearn. Python API compatible with existing pandas/sklearn code.

TensorFlow

Google's open-source ML framework for building, training, and deploying neural networks with Keras high-level API, TFLite for edge deployment, and TF Serving for production.

Keras

High-level deep learning API — builds and trains neural networks with a clean, consistent interface. Keras 3 features: multi-backend support (TensorFlow, JAX, PyTorch — switch with KERAS_BACKEND env var), Sequential and Functional model APIs, Model subclassing, built-in layers (Dense, Conv2D, LSTM, Transformer, MultiHeadAttention), compile/fit/evaluate/predict workflow, callbacks (ModelCheckpoint, EarlyStopping, TensorBoard), preprocessing layers, KerasHub pretrained models, and keras.ops for backend-agnostic operations. Keras 2 was TensorFlow-only; Keras 3 runs on any backend. Designed for accessibility with maximum developer productivity.

LightGBM

Microsoft's fast, memory-efficient gradient boosting framework that uses histogram-based algorithms and leaf-wise tree growth to train faster than XGBoost on large datasets while natively handling categorical features.

XGBoost

High-performance gradient boosted decision trees implementation with GPU support and both a native API and a scikit-learn compatible API, widely used for winning Kaggle competitions and production tabular ML.

AutoGluon

AWS open-source AutoML toolkit that handles tabular, text, image, and multimodal data with state-of-the-art accuracy. AutoGluon's tabular module consistently achieves top Kaggle benchmark scores by ensembling tree-based models and neural networks. Beyond tabular, AutoGluon handles NLP (fine-tunes transformers), computer vision (fine-tunes image classifiers), and multimodal data (combined text + image + tabular). Designed for accuracy over speed — trains longer but achieves better results.

Hugging Face Transformers

Provides AutoModel/AutoTokenizer APIs and pipelines for 200,000+ pretrained models across NLP, vision, and audio tasks on PyTorch, TensorFlow, and JAX backends.

Ollama

Local LLM inference server exposing an OpenAI-compatible REST API at localhost:11434 for running open-weight models entirely on your own hardware.

Unsloth

Open-source library for memory-efficient and fast LLM fine-tuning. Unsloth provides optimized CUDA kernels and attention implementations that reduce VRAM usage by 60-80% and speed up fine-tuning by 2-5x compared to standard QLoRA/LoRA implementations. Works with Llama, Mistral, Gemma, Phi, and other popular open-source models. Drop-in replacement for HuggingFace PEFT — minimal code changes needed. Enables fine-tuning 70B models on a single consumer GPU.

Screenpipe

Local-first screen and audio recording engine with REST API for AI context capture. Screenpipe continuously records your screen and audio, runs OCR and transcription locally, and provides a searchable database of everything you've seen and heard. Enables AI agents to access user context — what apps were open, what was typed, what was said — without cloud upload. Used for personal AI memory and computer use workflows.

OpenAI Text-to-Speech API

OpenAI's text-to-speech API — converts text to natural speech with 6 built-in voices (Alloy, Echo, Fable, etc.) and streaming support, using the same API key as GPT.

docTR

End-to-end OCR library from Mindee that combines DBNet document detection and CRNN text recognition to extract structured text from images and PDFs.

Clueo MCP Server

MCP server from the Clueo Foundation for the Clueo platform — focused on structured reasoning and knowledge management capabilities. Enables AI agents to access Clueo's reasoning infrastructure, query structured knowledge, and leverage Clueo's analytical tools for enhanced AI reasoning workflows.

Google Agent Development Kit (ADK)

Google's open source Python framework for building, evaluating, and deploying multi-agent pipelines powered by Gemini, with native Vertex AI deployment support.

OpenAI Batch API

OpenAI's asynchronous batch API for processing large volumes of LLM requests at 50% cost reduction with up to 24-hour completion windows.

OpenHands

Open source AI software engineering agent platform that autonomously writes code, runs tests, browses the web, and executes shell commands to complete software tasks.

Albumentations

Fast image augmentation library for computer vision — extends torchvision transforms with bbox/mask-aware augmentations. Albumentations features: 70+ augmentation transforms (RandomCrop, HorizontalFlip, RandomBrightnessContrast, ShiftScaleRotate, CoarseDropout, GridDistortion, OpticalDistortion, CLAHE, Blur, Noise, Weather effects), A.Compose for pipelines, bounding box transforms (bbox_params=A.BboxParams('yolo'/'pascal_voc'/'coco')), segmentation mask transforms (mask and masks params), keypoint augmentation, albumentation.ReplayCompose for deterministic replay, multi-GPU safe, 3-10x faster than torchvision due to OpenCV backend. Standard augmentation library for detection and segmentation agent models.

Klavis

YC X25-backed platform providing 100+ pre-built MCP integrations with OAuth support for AI agents. Offers three products: Strata (intelligent connectors that optimize context window usage), MCP Integrations (pre-built connectors for services like Gmail, Slack, GitHub), and MCP Sandbox (scalable environments for LLM training and reinforcement learning). Available as cloud-hosted, self-hosted Docker, Python/TypeScript SDKs, or REST API.

Microsoft Semantic Kernel

Open source enterprise SDK for building AI applications and agents with a plugin system, memory, planners, and multi-agent orchestration supporting OpenAI, Azure OpenAI, and Hugging Face backends.

torchvision

PyTorch computer vision library — datasets, model architectures, and image transforms for vision ML. torchvision features: pretrained models (ResNet, EfficientNet, ViT, DETR, Mask R-CNN via torchvision.models), datasets (ImageNet, CIFAR-10, COCO, VOC via torchvision.datasets), transforms v2 (torchvision.transforms.v2 — random crops, flips, normalize, augmentation pipelines), torchvision.io for image/video I/O, torchvision.ops (nms, box_iou, roi_align for detection), and torchvision.utils (make_grid, draw_bounding_boxes). Standard vision library for PyTorch — pairs with DataLoader for training classification, detection, and segmentation agent models.

vLLM

High-throughput and memory-efficient LLM inference engine. vLLM uses PagedAttention (a novel KV cache management technique) to serve LLMs with 24x higher throughput than HuggingFace Transformers. Provides an OpenAI-compatible server, streaming support, and multi-GPU/multi-node inference. De facto standard for self-hosted LLM serving in production — used by major ML platforms as their inference backend. Works with Llama, Mistral, Gemma, Qwen, and hundreds of other HuggingFace models.

Deepgram API

Provides real-time and batch speech-to-text transcription via REST and WebSocket, supporting 200+ languages with the Nova-3 model.

FLAML (AutoML)

Fast and Lightweight AutoML library from Microsoft Research. FLAML automatically finds optimal ML models, hyperparameters, and feature engineering with minimal compute. Uses a cost-frugal optimization algorithm that intelligently allocates budget. Beyond classical AutoML, FLAML includes AutoGen (now separate) integration and supports LLM hyperparameter tuning. Excels at finding good solutions quickly under time/resource constraints vs. exhaustive search.

Groq API

Groq provides ultra-low-latency LLM inference using proprietary Language Processing Units (LPUs), delivering 200-500 tokens/second on models like Llama 3.1 70B and Mixtral 8x7B via an OpenAI-compatible REST API.

OpenAI Assistants API

OpenAI Assistants API — build persistent AI assistants with threads, tool use (code interpreter, file search, function calling), and managed conversation state across sessions.

Mirascope

Provider-agnostic Python LLM library using an @llm.call decorator pattern that gives type-safe, async-ready, streaming-capable LLM calls with clean ergonomics and minimal boilerplate.

LlamaIndex

Data framework for connecting custom data sources to LLMs, specializing in RAG pipelines, data ingestion, indexing strategies, and agent tooling built on top of structured and unstructured data. LlamaCloud provides managed parsing, indexing, and retrieval as a hosted REST service.

MemGPT MCP Server

MCP server bridging AI agents with MemGPT/Letta — the persistent memory management system for AI. Enables agents to store, retrieve, and manage long-term memory across conversations using Letta's memory architecture. Allows AI workflows to maintain state and context beyond single conversations.

NannyML

Post-deployment ML model monitoring library that can estimate model performance without ground truth labels, using Confidence-based Performance Estimation (CBPE). NannyML detects data drift, feature drift, and concept drift in production ML models, and uniquely estimates performance metrics (accuracy, AUROC, F1) before ground truth arrives using only prediction confidence scores. Open source Python library with NannyML Cloud for managed monitoring dashboards and alerting.

CuPy

GPU-accelerated NumPy/SciPy drop-in replacement — runs array operations on NVIDIA CUDA or AMD ROCm GPUs. CuPy features: numpy-compatible API (cp.array, cp.dot, cp.fft), cupy.ndarray on GPU memory, cp.asnumpy() / cp.asarray() for CPU↔GPU transfer, element-wise custom kernels (cp.ElementwiseKernel), reduction kernels, cupy.RawKernel for CUDA C, sparse matrix support (cupyx.scipy.sparse), linear algebra (cupyx.scipy.linalg), and DLPack interop with PyTorch/JAX. 10-100x speedup over NumPy for large arrays on GPU. Used for signal processing, image processing, and scientific computing without PyTorch/TensorFlow overhead.

Outlines

Enforces structured LLM output (regex, JSON schema, EBNF grammar) at the token-sampling level during generation, eliminating post-hoc parsing failures entirely.

Sentence Transformers

Python library for sentence/text embeddings — generates dense vector representations of text using pretrained transformer models. Sentence Transformers features: SentenceTransformer model loading (from HuggingFace Hub), model.encode(texts) for batch embedding, semantic similarity (util.cos_sim), paraphrase mining, semantic search (util.semantic_search), cross-encoder reranking, fine-tuning support, 100+ pretrained models (all-MiniLM-L6-v2, all-mpnet-base-v2, BGE models), GPU acceleration, and multi-GPU support. Core library for building RAG pipelines and semantic search without OpenAI embedding API calls.

Cohere Embed API

Generates high-quality text embeddings via embed-english-v3.0 and embed-multilingual-v3.0 models, supporting batch encoding of up to 96 texts with configurable compression and input-type-aware representations.

MediaPipe

Google's on-device ML pipeline library for real-time hand tracking, face detection, pose estimation, and other perception tasks across Python and JavaScript.

OpenAI Images API (DALL-E)

OpenAI's image generation API supporting text-to-image generation (DALL-E 3, gpt-image-1), image editing (inpainting with a mask), and image variation generation. Returns images as URLs or base64-encoded PNG data. Supports multiple sizes, quality settings, and response formats.

AI Spark MCP Server

MCP server providing access to AI Spark (Xunfei/iFlytek Spark) — a leading Chinese large language model from iFlytek. Enables AI agents to use Spark's language model capabilities, including text generation, analysis, and understanding — particularly well-suited for Chinese-language AI tasks.

Mistral la Plateforme API

Provides hosted access to Mistral's commercial model lineup (Mistral Large, Mistral Small, Codestral) with function calling, JSON mode, and EU data residency via a REST API distinct from self-hosted open-weight deployments.

spaCy

Industrial-strength NLP library for Python with support for named entity recognition, part-of-speech tagging, dependency parsing, text classification, and custom ML pipeline components. Available as an open-source Python library and via spaCy Cloud REST API.

Docling

IBM's open-source document conversion library that parses PDF, DOCX, PPTX, and other formats into structured Markdown or JSON with table detection, figure extraction, and layout analysis.

Hugging Face Diffusers

Provides DiffusionPipeline and modular noise schedulers for running and fine-tuning state-of-the-art diffusion models for image, video, and audio generation.

LangGraph

Stateful graph-based framework for building multi-step LLM agent workflows with persistent checkpointing and human-in-the-loop support.

Marvin

AI engineering library by Prefect that exposes LLMs as type-safe Python functions using decorators like @marvin.fn, marvin.cast, and @marvin.classifier backed by Pydantic models.

xarray

Labeled N-dimensional array library for Python — pandas for N-D arrays with dimension names and coordinates. xarray features: DataArray (labeled N-D array) and Dataset (dict of DataArrays), dimension-aware operations (mean(dim='time')), coordinate alignment, label-based indexing (ds.sel(lat=40.7)), broadcasting by dimension name, groupby with dimensions (ds.groupby('time.month')), rolling windows, resample for time series, NetCDF4/Zarr/HDF5 I/O (open_dataset), Dask integration for out-of-core computation, CF conventions support, and rich plotting via matplotlib. Standard library for climate data, geospatial analysis, and any multi-dimensional labeled array work.

Magentic

Turns Python functions into LLM calls via a @prompt decorator, using type annotations to automatically parse and validate structured outputs with minimal boilerplate.

Outlines

Python library for structured text generation using LLMs with constrained decoding. Outlines guarantees LLM output matches a JSON schema, regex pattern, Pydantic model, or grammar by manipulating the token generation process — not just post-processing. Works with local models (transformers, llama.cpp) and APIs. Eliminates LLM output parsing failures by making invalid outputs structurally impossible.

Hugging Face Hub Python Client

Python client for the Hugging Face Hub REST API to download, upload, and manage models, datasets, and Spaces repositories with authentication and caching.

Google AI Studio (Gemini API)

Free API playground and developer gateway for Google's Gemini model family, providing access to Gemini Pro, Flash, and experimental models for text, vision, audio, code, and long-context tasks via REST and SDK.

Together AI API

Together AI provides serverless and dedicated inference for 100+ open-source models including Llama 3, Mistral, FLUX, and Stable Diffusion via an OpenAI-compatible API, plus managed fine-tuning and embeddings.

Atomic Agents

Lightweight agent framework where every agent is a composable unit with explicit Pydantic input/output schemas, enabling chainable, independently testable agent pipelines with minimal dependencies.

Cerebras Inference API

Delivers the fastest publicly available LLM inference (2,000+ tokens/second on Llama 3 models) using NVIDIA WSE-3 wafer-scale chips, with an OpenAI-compatible REST API and a currently limited but growing model catalog.

Groq Cloud API

Ultra-fast LLM inference API powered by custom LPU (Language Processing Unit) hardware delivering 300-500+ tokens/second for Llama, Mixtral, and Gemma models.

OpenAI Whisper API

Transcribes or translates audio files to text via OpenAI's hosted Whisper model at $0.006/minute, with the underlying model also available for self-hosting.

Cohere API

Enterprise LLM platform providing text generation (Command-R), embeddings (Embed), and reranking APIs optimized for retrieval-augmented generation workflows.

faster-whisper

Fast local speech recognition — CTranslate2-optimized implementation of OpenAI Whisper. faster-whisper features: WhisperModel class (model_size_or_path, device, compute_type), model.transcribe() returning (segments, info), word-level timestamps, language detection, beam_size parameter, VAD filter (voice activity detection) to skip silence, int8/float16/float32 quantization, CPU and GPU inference, batch transcription, and compatible models from HuggingFace Hub (ctranslate2-based). 4x faster than openai-whisper with 2x less memory. Primary library for high-throughput local speech transcription in agent pipelines.

LiteLLM

Universal LLM routing library and proxy server that provides a single OpenAI-compatible interface to 100+ LLM providers with cost tracking, fallbacks, and load balancing.

smolagents

Minimal HuggingFace agent library where CodeAgent writes and executes Python code as its action space, keeping the core under 1000 lines for full auditability.

LangChain Core

Provides the foundational abstractions for the LangChain ecosystem — Runnables, prompt templates, message types, output parsers, and the LangChain Expression Language (LCEL) — that all LangChain-compatible integrations build upon.

Optax

Gradient processing and optimization library for JAX — composable optimizer building blocks for training neural networks. Optax features: standard optimizers (optax.adam, optax.sgd, optax.adamw, optax.rmsprop, optax.adagrad, optax.lion), learning rate schedules (optax.cosine_decay_schedule, optax.warmup_cosine_decay_schedule, optax.linear_schedule), gradient clipping (optax.clip, optax.clip_by_global_norm), optimizer chaining (optax.chain), masked updates (optax.masked), exponential moving average (optax.ema), gradient accumulation (optax.MultiSteps), and custom optimizer composition. JAX ecosystem optimizer library — pairs with Flax for neural network training. DeepMind-maintained.

Voyage AI

Provides state-of-the-art embedding models and rerankers optimized for retrieval accuracy, used by Anthropic and trusted for RAG pipelines.

Bumblebee

Elixir library for running pre-trained HuggingFace neural network models — BERT, GPT-2, Whisper, CLIP, Stable Diffusion, and more — directly in Elixir without Python. Built on Nx (tensor operations) and Axon (neural network layers). Bumblebee downloads model weights from HuggingFace Hub and runs inference via EXLA (XLA GPU backend) or BinaryBackend (CPU). Enables LLM inference, text classification, NER, speech recognition, image classification, and text embedding in pure Elixir. Integrated with Livebook Smart Cells for notebook exploration.

DSPy

Programmatic LLM pipeline framework that replaces manual prompt engineering with declarative Signatures and automatic optimizer-driven prompt tuning.

Google Gemma

Google's family of open-weight lightweight LLMs (1B-27B) for on-device, edge, and self-hosted inference without sending data to Google.

Instructor

Python library that makes it trivially easy to get structured Pydantic objects from LLMs. Patches the OpenAI client to add response_model parameter — specify a Pydantic class and Instructor handles function calling/JSON mode, validation, and automatic retry on validation failure. Supports OpenAI, Anthropic, Gemini, Mistral, and local models via LiteLLM.

Remove.bg API

AI-powered background removal API focused on a single, highly-optimized task: removing image backgrounds with high accuracy across diverse subject types.

AssemblyAI API

Speech-to-text API with built-in LLM-powered features including transcription, speaker diarization, sentiment analysis, summarization, and entity detection in audio and video content.

LM Studio

GUI desktop application for browsing, downloading, and running local LLMs that optionally exposes an OpenAI-compatible REST API server for agent consumption.

NeMo Guardrails

NVIDIA conversation safety framework that uses the Colang language to define topical, fact-checking, and jailbreak-detection rails that control dialogue flow in LLM applications.

ONNX Runtime

Cross-platform ML model inference engine — runs ONNX format models on CPU, GPU, or specialized hardware with graph optimizations. ONNX Runtime features: InferenceSession (load .onnx model), session.run() for inference, execution providers (CPUExecutionProvider, CUDAExecutionProvider, TensorRTExecutionProvider, CoreMLExecutionProvider), graph-level optimizations (constant folding, operator fusion), quantization (INT8/FP16), model profiling, dynamic shapes, IoBinding for zero-copy GPU inference, and Python/C++/C#/Java/JavaScript APIs. Exports from PyTorch (torch.onnx.export), TensorFlow, and scikit-learn via skl2onnx. Microsoft production inference runtime — used by Azure ML, Windows ML, and Hugging Face Optimum.

torchaudio

PyTorch audio processing library — audio I/O, signal transforms, and pretrained models for speech and audio ML. torchaudio features: torchaudio.load() and save() for audio files (WAV, FLAC, MP3, OGG), torchaudio.transforms (MelSpectrogram, MFCC, Spectrogram, Resample, AmplitudeToDB, FrequencyMasking, TimeMasking), torchaudio.functional for signal processing ops, torchaudio.datasets (LibriSpeech, SPEECHCOMMANDS, VoxCeleb), pretrained models (Wav2Vec2, HuBERT via torchaudio.pipelines), StreamReader for streaming audio, and GPU-accelerated transforms. PyTorch audio companion — pairs with Whisper and HuggingFace speech models for agent audio pipelines.

Mistral AI API

French LLM provider offering Mistral Small/Medium/Large and Mixtral mixture-of-experts models via an OpenAI-compatible REST API.

llama.cpp / llama-cpp-python

Low-level C++ LLM inference engine with Python bindings (llama-cpp-python) that runs GGUF-format quantized models locally with fine-grained control over context, sampling, and constrained generation.

AssemblyAI API

AssemblyAI transcribes audio files with high accuracy and offers LeMUR — an LLM layer over transcripts — for summarization, Q&A, and structured data extraction in one API call.

HuggingFace Text Generation Inference

Production-grade LLM inference server from HuggingFace. TGI provides OpenAI-compatible REST API for serving open-source LLMs (Llama, Mistral, Gemma, Falcon, etc.) with continuous batching, PagedAttention for memory efficiency, quantization (GPTQ, AWQ, EETQ), streaming tokens, and multi-GPU tensor parallelism. Powers HuggingFace's Inference Endpoints and is the reference serving solution for the HuggingFace ecosystem. Used when deploying open-source LLMs in production.

Mastra

TypeScript-native AI agent framework for building production AI applications. Mastra provides agents, workflows, tools, RAG, and memory as first-class primitives — all type-safe. Built by the team behind Gatsby. Supports Vercel AI SDK compatible LLM providers, structured output, and integrates with popular TypeScript tooling. Strong focus on developer experience and type safety for Node.js/Next.js AI applications.

Mathpix

Specialized OCR and document processing API for mathematical content. Mathpix converts images, PDFs, and handwritten math into LaTeX, MathML, Markdown, and structured formats with best-in-class accuracy for equations, tables, chemistry diagrams, and scientific notation. Also offers Snip (iOS/Windows app) for converting photos of math to LaTeX. Critical for RAG applications over scientific papers where math equation fidelity is required.

Cloudflare Workers AI

Serverless AI inference platform running open-weight models at Cloudflare's global edge network. Supports text generation (Llama, Mistral), embeddings, image classification, speech-to-text, and translation via REST API — no GPU setup required.

Jimeng AI Image/Video MCP Server

MCP server for Jimeng AI (即梦) — ByteDance's generative AI platform for creating images and videos from prompts. Enables AI agents to generate images and videos, mix images, use reference images, and create visual content programmatically through ByteDance's Jimeng AI service.

Replicate API

Runs 1000+ open-source ML models via REST API on pay-per-second GPU compute, with webhook support for async predictions.

Vercel AI SDK

TypeScript toolkit for building AI-powered web applications with first-class streaming support, React/Next.js hooks, multi-provider abstraction, and tool/agent capabilities.

FiftyOne

Computer vision dataset management and model evaluation platform — explore, evaluate, and curate CV datasets. FiftyOne features: fo.Dataset for loading images/videos with labels, fo.launch_app() interactive web UI (tags, filtering, similarity search), model evaluation (evaluate_detections, evaluate_classifications), dataset zoo (fo.zoo.load_zoo_dataset), label studio integration, COCO/YOLO/VOC import/export, brain plugins (compute_similarity for duplicate finding, compute_uniqueness, compute_hardness), active learning workflows, find_duplicates(), and dataset slices. Used for pre-training data curation, model failure analysis, and active learning for agent computer vision.

Nx (Numerical Elixir)

Numerical computing library for Elixir that provides multi-dimensional tensor operations with NumPy-like APIs. Nx supports multiple backends: EXLA (XLA/GPU accelerated), TorchX (LibTorch), and binary/BinaryBackend (pure Elixir). Core of the Elixir ML ecosystem — Axon (neural networks), Bumblebee (HuggingFace models), and Scholar (classical ML) are all built on Nx. Enables ML inference and data processing in Elixir without leaving the BEAM runtime.

timm

PyTorch Image Models — largest collection of pretrained computer vision models for PyTorch. timm features: 1000+ pretrained models (ViT, EfficientNet, ConvNeXt, Swin Transformer, DeiT, EVA, MetaFormer), timm.create_model() factory with pretrained=True, feature extraction (features_only=True), custom classifier heads, timm.data.create_transform for optimal preprocessing per model, model listings (timm.list_models()), HuggingFace Hub integration (timm.create_model('hf-hub:timm/model')), and benchmark data for model selection. Maintained by Ross Wightman at Hugging Face. Premier library for vision transfer learning in PyTorch.

DeepEval

LLM evaluation framework with 14+ built-in metrics (hallucination, answer relevancy, bias, toxicity, etc.) that integrates with pytest for CI/CD pipelines and optionally syncs results to the Confident AI cloud dashboard.

Fireworks AI API

Fireworks AI provides high-throughput, low-latency inference for open-source LLMs (Llama 3, Mixtral, Gemma, etc.) via an OpenAI-compatible REST API with support for function calling, JSON mode, and custom model deployment.

Guardrails AI

LLM output validation framework that wraps LLM calls with typed validators, reasks on failure, and provides a hub of community-built validators for format, content, and semantic constraints.

Jimeng AI MCP Server

MCP server for Jimeng (即梦) — ByteDance's AI creative content platform offering AI image and video generation. Enables AI agents to generate images, create AI videos, and access ByteDance's creative AI capabilities through the Jimeng API — integrating generative media production into AI workflows.

Google Cloud Natural Language API

Google Cloud NLP API for sentiment analysis, entity extraction, syntax analysis, content classification, and entity sentiment on text.

HuggingFace Tokenizers

Fast tokenization library for NLP — Rust-backed tokenizer with Python bindings for training and using tokenizers. HuggingFace Tokenizers features: AutoTokenizer (loads pretrained tokenizer from Hub), encode/decode for single texts, batch encoding, special tokens ([CLS], [SEP], [PAD]), truncation and padding, fast tokenization (10-100x faster than slow tokenizers), offset mapping for token-to-character alignment, custom BPE/WordPiece/Unigram tokenizer training, and integration with HuggingFace Transformers. Used for preparing agent text for LLM inference and fine-tuning.

JAX

High-performance ML research framework — NumPy-compatible array library with autograd, JIT compilation, and hardware acceleration. JAX features: jax.grad() for automatic differentiation, jax.jit() for XLA compilation (10-100x speedup), jax.vmap() for vectorization, jax.pmap() for multi-device parallelism, jax.numpy (jnp) NumPy-compatible API, functional programming model (pure functions required), random number via jax.random.PRNGKey (not stateful), and TPU/GPU/CPU backends. Preferred framework for ML research — neural network libraries Flax and Optax build on JAX. Used by Google DeepMind for research.

LangSmith API

LangSmith REST API — LLM observability, tracing, and evaluation platform enabling agents to log runs, trace multi-step chains, evaluate outputs with datasets, and monitor production LLM applications for latency, cost, and quality.

Phidata (deprecated — see Agno)

Structured Python agent library with built-in tools, memory, storage, and knowledge bases — now rebranded and superseded by the Agno framework.

Tabby

Self-hosted AI coding assistant with a REST API. Tabby runs locally or on-premises, providing GitHub Copilot-like code completions using open-source LLMs (CodeLlama, StarCoder, DeepSeek Coder). Ships with IDE plugins (VS Code, JetBrains, Vim/Neovim) and a REST API for custom integrations. Enterprise features include RBAC, Git context indexing, and a team management UI. Core value: full data privacy with no code sent to external services.

hnswlib

Fast approximate nearest neighbor (ANN) search library implementing HNSW (Hierarchical Navigable Small World) algorithm. hnswlib features: hnswlib.Index for in-memory vector index, add_items() for batch insertion, knn_query() for k-nearest-neighbor search, save_index()/load_index() for persistence, ef_construction and M parameters for accuracy/speed trade-off, ef (query-time) parameter, multi-threading for batch queries, mark_deleted() for soft deletion, and both L2 (Euclidean) and cosine space metrics. 10-100x faster than brute-force search at slight accuracy cost. Lightweight alternative to FAISS for CPU-only environments.

NLTK

Classic Python NLP toolkit — comprehensive library for text processing, linguistic analysis, and NLP tasks. NLTK features: tokenization (word_tokenize, sent_tokenize), POS tagging (pos_tag), named entity recognition (ne_chunk), stemming (PorterStemmer, WordNetLemmatizer), sentiment analysis (VADER SentimentIntensityAnalyzer), stopwords corpus, WordNet integration, frequency distributions (FreqDist), chunking, parsing, and 100+ corpora and language resources. nltk.download() for corpus installation. Pre-transformer NLP for agent text preprocessing and feature extraction pipelines.

Portkey AI Gateway API

Provides a unified AI gateway API for routing requests across multiple LLM providers (OpenAI, Anthropic, Gemini, etc.) with built-in observability, semantic caching, rate limiting, fallback strategies, and prompt management.

Ray Serve

Production model serving library built on Ray for scalable ML inference. Ray Serve supports model composition (chaining models in DAGs), dynamic batching, autoscaling, and mixed hardware deployments. REST API automatically exposed for deployed models. Anyscale provides managed Ray/Ray Serve. Supports any ML framework (PyTorch, TensorFlow, HuggingFace, vLLM) and handles LLM serving natively.

txtai

All-in-one AI-native database and pipeline framework for building NLP-powered applications. txtai provides semantic search, embeddings storage, LLM-based workflows, and RAG pipelines in a single library. Runs locally without infrastructure — no separate vector database server needed. Supports SQLite-based embedding storage, model serving, audio/image/text pipelines, and a built-in API server. Designed for building AI-powered semantic search and retrieval applications with minimal dependencies.

Amazon Translate API

Translate text between 75+ languages using neural machine translation, with support for custom terminology and real-time or batch document translation.

Mistral AI API

European LLM API offering open-weight and proprietary models with strong function calling, JSON mode, and GDPR-compliant data processing.

GitHub Models

Free LLM inference marketplace hosted on GitHub and backed by Azure AI, providing OpenAI-compatible API access to models from OpenAI, Meta, Mistral, Microsoft, and others using a standard GitHub personal access token.

Google Cloud Natural Language API

Analyzes text to extract entities, sentiment, syntax, and content categories using Google's pre-trained natural language models, accessible via REST or gRPC.

HuggingFace Accelerate

PyTorch distributed training abstraction — enables running the same training code on CPU, single GPU, multi-GPU, TPU, and distributed clusters without code changes. Accelerate features: Accelerator class wraps model/optimizer/dataloader, prepare() method handles device placement, automatic mixed precision (FP16/BF16), DeepSpeed integration, FSDP (Fully Sharded Data Parallel), gradient accumulation, accelerate launch CLI for distributed runs, accelerate config wizard, and experiment tracking integration. Used for agent LLM fine-tuning across varied compute environments.

Letta (MemGPT)

Open-source agentic framework (formerly MemGPT) with a REST API server providing agents persistent, structured memory management — enabling agents to remember users, facts, and history across unlimited conversations.

Zep Cloud

Manages long-term memory for AI agents using a temporal knowledge graph that stores conversations, extracts facts, and indexes them with time-awareness so agents can recall what was true at any point in time.

Helicone API

Helicone LLM observability proxy — a drop-in proxy that intercepts LLM API calls (OpenAI, Anthropic, etc.) to log requests/responses, track costs, enable caching, rate limiting, and provide analytics dashboards with minimal code changes.

LlamaParse

LLM-powered PDF and document parsing service from LlamaIndex. LlamaParse converts complex PDFs (multi-column, tables, charts, images) into clean Markdown or structured text optimized for LLM ingestion and RAG. Uses LLMs to understand document structure rather than pure text extraction — producing better table formatting, section hierarchy, and figure descriptions. Designed as the ingestion layer for LlamaIndex RAG pipelines but usable independently.

NVIDIA Triton Inference Server

Production ML inference server from NVIDIA optimized for GPU workloads. Supports TensorFlow, PyTorch, ONNX Runtime, TensorRT, and Python backends. Provides HTTP and gRPC APIs for inference, model management, and health checking. Features dynamic batching, model ensembles, concurrent model execution, and performance analysis. Industry standard for high-throughput GPU inference in production.

Braintrust

LLM evaluation platform that combines dataset versioning, prompt management, LLM-as-judge scoring functions, and real-time tracing under a projects/experiments/datasets hierarchy with CI pipeline integration via CLI.

ElevenLabs API

Converts text to lifelike speech with voice cloning capabilities, supporting 29 languages with streaming audio output.

SkyPilot

Cloud-agnostic framework for running LLM workloads, AI training, and batch jobs across any cloud (AWS, GCP, Azure, Lambda Labs, RunPod, and more) with automatic spot instance provisioning, failover, and cost optimization. SkyPilot abstracts cloud-specific APIs behind a simple YAML task definition and CLI — launch GPU jobs on the cheapest available cloud, automatically retry on preemption, and mount storage from any cloud. Developed at UC Berkeley SKY Computing Lab.

Amazon Nova on Bedrock

Amazon's own foundation model family (Nova Micro, Lite, Pro, Premier) available on AWS Bedrock, offering multimodal input support, video understanding in Nova Pro, batch API, knowledge base integration, and competitive pricing compared to third-party models on Bedrock.

llama-cpp-python

Python bindings for llama.cpp — runs quantized LLMs locally on CPU/GPU without PyTorch or CUDA required. llama-cpp-python features: Llama class (load GGUF model, generate text), OpenAI-compatible API server (llama_cpp.server), llama(prompt) call interface, n_gpu_layers for partial/full GPU offload, chat completion format (llm.create_chat_completion), streaming responses, function calling support, embedding generation (llm.create_embedding), context window control, and mmap for large model loading. Runs Llama, Mistral, Phi, Gemma, and other GGUF-format models. Primary tool for CPU-only LLM inference in agent pipelines.

Griptape

Python framework for building production-grade AI agents and pipelines. Griptape provides agents, tasks, pipelines, and workflows as composable primitives. Core abstractions: Agents (single-task LLM loops with tools), Pipelines (sequential task chains), and Workflows (parallel DAGs). Includes built-in memory, RAG toolchain, task memory (off-prompt data handling), and cloud platform (Griptape Cloud) for deployment. Enterprise-focused alternative to LangChain with emphasis on predictability and off-prompt data handling.

Haystack by deepset

Haystack is an open-source Python framework by deepset for building RAG and NLP pipelines; it offers a composable component model for connecting LLMs, document stores, retrievers, and preprocessors, with an optional Hayhooks REST server for HTTP-based pipeline invocation.

OpenRouter API

Unified LLM gateway that routes requests to 200+ models from OpenAI, Anthropic, Google, Meta, and others through a single OpenAI-compatible API endpoint.

Amazon Comprehend API

Extract entities, sentiment, key phrases, language, and PII from text using AWS-managed NLP models, with support for custom classifiers and entity recognizers.

Anthropic Computer Use (Beta)

Claude's computer use capability (beta) enabling AI agents to control desktop GUIs — click buttons, type text, take screenshots — to automate tasks on real computer interfaces.

Nomic AI

AI embeddings API and data visualization platform. Nomic's primary products: (1) Nomic Embed — high-quality open-source text embeddings model available via API and for local deployment (nomic-embed-text, nomic-embed-vision), competitive with OpenAI text-embedding-3 at lower cost; (2) Nomic Atlas — interactive 2D/3D visualization of high-dimensional embedding spaces for exploring large text datasets. Used for RAG embedding generation and for visually understanding document clusters.

AWS Polly API

AWS Polly converts text to lifelike speech with 60+ voices across 30+ languages using standard and neural TTS engines — outputs MP3, OGG, or PCM audio in synchronous or asynchronous mode.

Annoy

Approximate Nearest Neighbor (ANN) search library by Spotify — disk-based random projection tree index for fast similarity search. Annoy features: AnnoyIndex.build() for index construction, get_nns_by_vector()/get_nns_by_item() for queries, save()/load() for memory-mapped file indexes, n_trees parameter for accuracy/build-time trade-off, search_k for query-time recall control, on_disk_build() for large indexes that don't fit in RAM, angular/euclidean/manhattan/hamming/dot distance metrics, and read-only memory-mapped access (multiple processes share one index file). Designed for memory-efficient read-only serving of pre-built indexes.

GPTScript

Natural language scripting framework where you write AI workflows in .gpt files using plain English, and GPTScript executes them by calling LLMs, tools, and external APIs.

ControlFlow

Task-oriented AI orchestration framework by Prefect where you define Tasks with explicit goals and completion criteria, and AI agents collaborate to complete them.

DeepSpeed

Microsoft's distributed training and inference optimization library for large-scale deep learning. DeepSpeed enables training LLMs with billions of parameters on GPU clusters via ZeRO (Zero Redundancy Optimizer) — which shards optimizer state, gradients, and model parameters across GPUs to dramatically reduce memory footprint. Also provides inference optimization (DeepSpeed-Inference, DeepSpeed-MII) with kernel fusion, quantization, and tensor parallelism for faster LLM serving. Used to train GPT-3, Megatron-DeepSpeed, and many other large models.

Guidance AI

Constrains LLM generation at the token level using regex, JSON schemas, and context-free grammars, producing structured output faster and more reliably than prompt-only approaches.

Aider

AI pair programming tool that runs in the terminal. Aider gives LLMs access to your codebase via git context and uses a structured diff format (SEARCH/REPLACE blocks) to make precise code edits. Chat with aider to ask it to implement features, fix bugs, or refactor code — it edits files directly and commits changes to git. Supports all major LLM providers. Benchmark leader for code editing tasks. Used as both a standalone tool and as a library in other AI coding tools.

NVIDIA NIM API

Provides OpenAI-compatible LLM inference via NVIDIA-optimized TensorRT-LLM containers deployable on-premises or via nvidia.com hosted endpoints (api.nvcf.nvidia.com), supporting Llama, Mistral, Mixtral, Nemotron, and other models with hardware-accelerated throughput.

Nevergrad

Gradient-free optimization library by Meta (Facebook Research) — optimizes functions that don't have accessible gradients using evolutionary, Bayesian, and quasi-random methods. Nevergrad features: ng.optimizers.registry for 70+ optimizers (CMA-ES, DE, NGOpt, PSO, SQPCMA), ng.p.Scalar/Array/Choice/Dict for parameter spaces, instrumentation for complex mixed-type spaces, optimizer.ask()/tell() suggest-update API, budget parameter for evaluation count, multi-objective optimization, parallelism, and constraint support. NGOpt is the recommended adaptive meta-optimizer. Used for ML hyperparameter tuning, prompt optimization, neural architecture search, and any black-box optimization problem.

Together AI API

Together AI's inference API for running open-source LLMs (Llama, Mistral, Mixtral, etc.) with OpenAI-compatible endpoints for chat, completion, and embedding tasks.

Arize Phoenix

Open-source LLM observability platform built on OpenTelemetry and the OpenInference spec that captures traces and spans, runs evaluations, visualizes embeddings, and performs cluster analysis to identify LLM failure modes.

DeepInfra

Low-cost GPU inference provider for open-source LLMs and embedding models. DeepInfra hosts hundreds of models (Llama, Mistral, Qwen, embedding models) with an OpenAI-compatible API — drop-in replacement for OpenAI API with open-source models at 10-50x lower cost. Supports text generation, embeddings, image generation, and speech-to-text. No minimum commitment or infrastructure management.

Microsoft Phi-4 API

Provides access to Microsoft's Phi-4, a 14B-parameter small language model optimized for mathematical reasoning, STEM tasks, and instruction following, via the Azure AI Inference API in Azure AI Studio or Azure AI Foundry.

TorchServe

Production-grade model serving framework for PyTorch models developed by AWS and Meta/Facebook. TorchServe provides REST and gRPC APIs for serving PyTorch models with features including multi-model serving, model versioning, A/B testing, batch inference, metrics, and dynamic model loading/unloading without server restarts. Acts as the reference serving solution for the PyTorch ecosystem — used when you have PyTorch models and need a production inference server without building one from scratch.

fal.ai

Serverless AI model inference platform offering sub-second image, video, and audio generation via REST API, with support for Flux, SDXL, Wan, and hundreds of open-source models.

Azure AI Inference API

Serverless model inference API on Azure AI Foundry providing OpenAI-compatible access to open and proprietary models (Llama, Phi, Mistral, Cohere, and others) with pay-per-token pricing and no GPU provisioning required.

Hugging Face Inference API

Hugging Face Inference API — run inference on 200,000+ open-source models (LLMs, NLP, CV, audio) via a unified REST API without managing GPU infrastructure.

HuggingFace Datasets

HuggingFace Datasets library — fast, efficient loading and processing of ML datasets. Datasets features: load_dataset() for 100,000+ public datasets from Hub, local file loading (CSV, JSON, Parquet, text), Dataset.map() for preprocessing, Dataset.filter(), streaming mode (streaming=True for infinite datasets), Arrow-backed memory mapping (no RAM limits), multi-GPU/CPU parallelism, push_to_hub() for sharing, DatasetDict for train/validation/test splits, dataset caching, and Sequence/ClassLabel/Value feature types. Core library for agent LLM training data, evaluation benchmarks, and RAG document ingestion.

Mojo

Systems programming language designed as a superset of Python, created by Modular (Chris Lattner). Mojo extends Python with manual memory management, SIMD vectorization, GPU programming, and MLIR compiler infrastructure for ML workloads. Goal: Python syntax with C++/CUDA performance for ML code without leaving the Python ecosystem. Mojo compiles to native code and can call Python libraries. Powers Modular's MAX engine for ML inference acceleration.

OpenAI Swarm

Experimental lightweight multi-agent framework from OpenAI exploring ergonomic interfaces for multi-agent orchestration. Swarm introduces two core primitives: Agents (LLM + tools + instructions) and Handoffs (agents transferring control to other agents). Minimal abstraction over OpenAI Chat Completions API. Educational reference implementation for exploring agent handoff patterns. NOT production-ready — OpenAI recommends Agents SDK for production use.

Ragas

Open-source Python framework that evaluates RAG pipelines across metrics like faithfulness, answer relevancy, context precision, and context recall using LLM-as-judge and statistical methods.

Rev.ai API

Rev.ai provides a speech recognition API with async job-based transcription, real-time streaming, speaker diarization, and custom vocabulary, built on Rev's human-transcription heritage.

Google Cloud Vision API

Google's computer vision API for label detection, object localization, OCR (including handwriting), face detection, landmark recognition, safe search, and logo detection.

Amazon Bedrock API

Amazon Bedrock REST API — fully managed foundation model service enabling agents to invoke frontier LLMs (Claude, Llama, Mistral, Titan, Stable Diffusion) via a unified API with serverless inference, fine-tuning, knowledge bases (RAG), and agents built on AWS infrastructure.

Argilla

Open-source data labeling and human feedback platform for LLM fine-tuning, evaluation, and RLHF. Argilla lets teams annotate text data, collect preference feedback (for RLHF), evaluate LLM outputs, and build training datasets — with a web UI and Python SDK. Integrates with HuggingFace Hub for dataset sharing. Used for creating instruction-tuning datasets, preference datasets (for DPO/PPO), and evaluation benchmarks. Designed to be simpler and cheaper than Scale AI or Labelbox for NLP/LLM tasks.

Azure Computer Vision API

Azure AI Vision analyzes images and documents to extract text (OCR), detect objects, describe scenes, read handwriting, and classify content via REST or SDK.

Confident AI (DeepEval Platform)

LLM evaluation platform providing the DeepEval open-source testing library plus Confident AI cloud for evaluation management, regression testing, and production monitoring. DeepEval supports 15+ LLM evaluation metrics (RAG metrics, hallucination, answer relevancy, faithfulness, G-Eval). REST API and Python SDK for running evaluations, tracking test runs, and monitoring production LLM quality.

Dify

Open-source LLM application development platform combining visual workflow builder, RAG pipeline, agent orchestration, and production deployment. Dify covers the full LLM app lifecycle: build (visual or code), test, deploy, and monitor. Includes built-in prompt management, conversation memory, document knowledge bases, and LLM observability. Every Dify app exposes a REST API. More feature-complete than Flowise — includes a text generation app type, chatbot app, agent app, and workflow app.

Evidently AI

Open-source ML and LLM evaluation and monitoring framework with a cloud API that generates data quality, drift, and model performance reports — enabling agents to evaluate datasets, detect distribution shift, and monitor ML and LLM systems in production.

Gensim

Topic modeling and document similarity library for Python — train and use Word2Vec, FastText, Doc2Vec, and LDA topic models. Gensim features: Word2Vec.train() for word embeddings, wv.most_similar() for nearest words, wv.similarity() for cosine similarity, FastText for subword embeddings (handles OOV), Doc2Vec for document-level embeddings, LdaModel for topic discovery, TfidfModel, corpora.Dictionary for vocabulary, corpora.MmCorpus for streaming large corpora, similarities.SparseMatrixSimilarity for document retrieval, and downloader API for pretrained models. Classic NLP library for training embeddings on domain-specific text when general pretrained models underfit.

Hugging Face Inference API

Hosted inference for 100,000+ open-source ML models including LLMs, embeddings, image generation, audio, and specialized NLP tasks via a unified REST API. Dedicated Endpoints provide production-grade isolated GPU inference.

Julep

Cloud platform for building stateful, long-running AI agents with built-in persistent memory, multi-step task execution, and tool integration — defined via YAML workflows.

Luma Dream Machine API

Luma Dream Machine provides a high-quality AI video generation API with Python and TypeScript SDKs for text-to-video and image-to-video generation.

Lunary

Open-source LLM observability and analytics platform with full tracing, cost tracking, user analytics, and evaluation capabilities. Lunary captures every LLM call with inputs, outputs, tokens, costs, and latency — and provides a UI for analyzing agent behavior, debugging failures, and running evals. MIT licensed with self-host option. Built for production LLM apps: supports multi-step agent traces, user tracking, and A/B testing of prompts.

Trieve Search API

Open-source infrastructure for building search and RAG pipelines combining dense vector search, sparse vector search (SPLADE), BM25 full-text, and cross-encoder reranking. Trieve provides a REST API for chunk management (ingest, update, delete) and search (semantic, fulltext, hybrid), plus recommendations and RAG with citations. Self-hostable with Trieve Cloud managed option. Strong focus on search quality via multi-stage retrieval.

Baseten

ML model deployment platform for serving custom ML models and open-source models (Llama, Whisper, SDXL, etc.) via a REST API. Uses 'Truss' — an open-source model packaging format — to containerize models with their dependencies. Baseten handles GPU provisioning, auto-scaling, and serving infrastructure. Faster to deploy models than custom Kubernetes setups.

CVAT (Computer Vision Annotation Tool)

Open-source computer vision annotation platform originally developed by Intel. Supports image and video annotation for object detection, segmentation, classification, and keypoint tasks. Provides collaborative annotation with multiple annotators, quality control workflows, and semi-automatic annotation using AI models (SAM, YOLOv8, etc.). REST API enables programmatic task creation, annotation export, and integration with ML pipelines. Hosted as CVAT.ai SaaS or self-hosted.

DEAP

Distributed Evolutionary Algorithms in Python — toolkit for implementing genetic algorithms, genetic programming, evolution strategies, and swarm intelligence. DEAP features: creator for custom individual/fitness classes, toolbox for operator registration, algorithms.eaSimple/eaMuPlusLambda for full EA loops, genetic operators (crossover, mutation, selection), Pareto front multi-objective optimization (NSGA-II), genetic programming tree evaluation, Hall of Fame for best individuals, Statistics tracking, pickle-based parallelism with scoop, and flexible fitness design. Used for feature selection, hyperparameter optimization, NAS, game playing, and prompt evolution.

Flax

Neural network library for JAX — defines and trains neural networks using JAX's functional programming model. Flax features: NNX API (flax.nnx.Module, stateful object-oriented style), Linen API (flax.linen.Module, legacy functional style), built-in layers (nnx.Linear, nnx.Conv, nnx.MultiHeadAttention), parameter initialization, batch normalization with mutable state, dropout, scan for recurrent networks, flax.training.train_state.TrainState for training loop boilerplate, and Orbax for checkpointing. JAX ecosystem neural network library — used by Google DeepMind, Hugging Face (transformers via flax weights), and ML research labs. Pairs with Optax for optimizers.

Ideogram API

Ideogram REST API — AI image generation with industry-leading text rendering capabilities, enabling agents to generate images with accurate legible typography, logos, signs, and text overlays that other models typically fail to render correctly.

OR-Tools

Combinatorial optimization library — solves routing, scheduling, constraint satisfaction, and linear programming problems. OR-Tools features: CP-SAT solver (constraint programming with SAT), LP and MIP (linear/mixed-integer programming), Vehicle Routing Problem (VRP) solver, assignment problem solver, bin packing, knapsack, network flow, GLOP (LP solver), and Python API with CpModel/CpSolver/RoutingModel. Google's production optimization library — used for Google Maps routing, logistics optimization, and scheduling. Agent optimization for resource allocation, scheduling, and routing problems.

llamafile

Bundles an LLM model and inference server into a single self-contained executable so you can run local LLMs with zero setup.

Google Cloud Translation API

Neural machine translation API supporting 100+ languages with automatic language detection, batch translation, domain-specific glossaries, and adaptive translation for consistent terminology.

H2O AutoML

Enterprise-grade AutoML platform with both open-source (H2O-3) and commercial (H2O AI Cloud, Driverless AI) offerings. H2O AutoML automatically trains and tunes ensembles of ML models (GBM, XGBoost, Random Forest, Deep Learning, GLM) and stacks them for top performance. Runs on a distributed Java cluster. Known for winning Kaggle competitions and being used in regulated industries (finance, healthcare) due to its explainability features (SHAP, partial dependence plots).

Ultravox

Real-time voice AI platform for building voice agents with ultra-low latency. Ultravox processes audio natively (speech-to-speech) without separate STT/LLM/TTS pipeline stages, reducing end-to-end latency to ~300ms. Provides REST API for creating voice calls and WebRTC/WebSocket for real-time audio streaming. Designed for voice-first AI agents.

Gretel.ai

Synthetic data generation platform that creates privacy-preserving artificial datasets with statistical properties matching real data. Gretel generates synthetic tabular data, text, time series, and code using generative models (GANs, GPT-based). Key use cases: replacing PII-containing data with synthetic equivalents for ML training, augmenting small datasets, and safely sharing sensitive data. Also offers data anonymization/pseudonymization and LLM fine-tuning data generation.

Hyperopt

Bayesian hyperparameter optimization library for Python — optimizes any function over complex search spaces using TPE (Tree of Parzen Estimators). Hyperopt features: hp.choice(), hp.uniform(), hp.loguniform(), hp.quniform() for search space definition, fmin() for optimization loop, Trials() for experiment tracking, SparkTrials for distributed optimization, STATUS_OK/STATUS_FAIL return protocol, hp.sample() for visualization, mongoexp for MongoDB-backed distributed optimization, and pyll graph for lazy evaluation. Used with XGBoost, sklearn, and neural networks for automated hyperparameter tuning. Predecessor of Optuna with similar TPE algorithm.

OpenPipe

LLM fine-tuning platform that captures your OpenAI API calls and turns them into fine-tuning datasets automatically. OpenPipe intercepts prompts and completions from your production application via a drop-in SDK replacement, filters for high-quality examples, and fine-tunes smaller models (Llama, Mistral) to match performance at 10-100x lower cost. Purpose-built for production cost reduction: replace expensive GPT-4 calls with fine-tuned small models.

Voiceflow

Collaborative platform for building, testing, and deploying AI-powered chat and voice agents. Voiceflow provides a visual drag-and-drop builder for conversation flows, integrates with LLMs (GPT-4, Claude, etc.) for AI responses, and offers a Dialog Manager API for deploying agents to any channel (web chat, Twilio, WhatsApp, etc.). Used by enterprise teams to build customer service bots, product support agents, and interactive voice response (IVR) systems with non-technical collaboration.

LangChain

Open-source framework for building LLM-powered applications and agents, providing composable abstractions for chains, memory, tools, retrievers, and agent orchestration. LangSmith provides hosted tracing, evaluation, and dataset management via REST API.

DeepSeek API

Provides access to DeepSeek's V2, V3, and R1 large language models via an OpenAI-compatible REST API, offering some of the lowest per-token pricing available for high-capability coding and reasoning tasks.

OctoAI API

OctoAI provides efficient serverless inference for LLMs and image generation models via an OpenAI-compatible API, with a focus on production-grade reliability, custom model deployment, and hardware-optimized serving through their OctoStack technology.

Cloudflare Workers AI API

Cloudflare Workers AI provides serverless AI model inference at the edge via both a native Workers binding and a REST API, running models close to users across Cloudflare's global network.

Deep Lake (Activeloop)

Multi-modal data lake and vector database designed for AI applications. Deep Lake stores tensors of any type (images, text, audio, video, embeddings, labels) in a unified format backed by cloud storage (S3, GCS, local). Enables streaming large datasets directly to ML training frameworks (PyTorch, TensorFlow) without copying data. Also serves as a vector store for LLM applications (RAG) with embedding search. The 'Lakehouse for AI' — combines features of data lakes, vector databases, and streaming dataset loaders.

FAISS

High-performance similarity search and vector clustering library — searches billion-scale vector databases efficiently. FAISS features: IndexFlatL2 and IndexFlatIP (exact brute-force), IndexIVFFlat (inverted file for fast approximate search), IndexHNSWFlat (graph-based ANN), IndexIVFPQ (product quantization for compression), GPU support (index_cpu_to_gpu), faiss.write_index/read_index for persistence, D,I = index.search(query, k) for k-NN search, index.add(vectors) for insertion, faiss.normalize_L2 for cosine similarity, and index.nprobe for speed/accuracy tradeoff. Facebook Research library — most deployed vector search for local agent RAG without managed vector database.

Langtrace

Open-source LLM observability platform that traces calls to LLM APIs (OpenAI, Anthropic, etc.) and provides evaluation, cost tracking, and performance analytics.

Reducto

Document parsing API designed specifically for AI/RAG pipelines. Converts complex PDFs (tables, figures, forms, scanned documents) to structured Markdown or JSON optimized for LLM ingestion. Handles multi-column layouts, complex tables, math formulas, and mixed content that generic PDF parsers fail on. Built with agent RAG pipelines as the primary use case.

AI21 Labs API

Enterprise LLM platform from Israeli AI company AI21 Labs. Features Jamba models (hybrid SSM-Transformer architecture) and specialized document summarization and question-answering capabilities.

Azure AI Speech (Cognitive Services Speech)

Azure AI Speech provides speech-to-text, text-to-speech, speech translation, and speaker recognition in a unified service with real-time streaming and batch transcription modes.

Leonardo.ai API

Leonardo.ai REST API — image generation platform specialized for game assets, concept art, and consistent character creation using fine-tuned Stable Diffusion models, with agent-friendly async job queues and detailed generation controls.

LlamaIndex (Python)

Data framework for LLM applications focusing on ingestion, indexing, and retrieval over custom data. LlamaIndex provides document loaders (150+ connectors), vector/graph/keyword indexes, query engines, and agent tools. Excels at RAG (Retrieval-Augmented Generation) pipelines with built-in chunking, embedding, retrieval, and reranking. Competing with LangChain in the LLM data framework space.

Patronus AI

Patronus AI provides an LLM evaluation API that scores model outputs for correctness, relevance, hallucination, toxicity, and custom criteria, enabling agents and CI pipelines to automatically assess and gate LLM response quality.

ZenML

Open-source MLOps framework for building portable, production-ready ML and LLM pipelines. ZenML abstracts away infrastructure (runs on local, Airflow, Kubeflow, Vertex AI, SageMaker, Databricks) via a stack-based plugin system. Provides pipeline versioning, artifact tracking, model registry, and lineage — enabling reproducible ML workflows across any cloud.

Azure Machine Learning

Azure's enterprise MLOps platform for training, deploying, and managing ML models with managed compute, automated ML, pipeline orchestration, and model registry.

DSPy

Stanford research framework for programming with LLMs by composing declarative modules and automatically optimizing prompts via compilers rather than hand-crafting. DSPy replaces manual prompt engineering with automatic optimization — define your task as a module (Signature), provide a metric, and DSPy's optimizer (BootstrapFewShot, MIPRO, etc.) generates optimized prompts and few-shot examples. Treats prompts as learnable parameters.

Opik by Comet ML

Open-source LLM evaluation and tracing platform by Comet ML that is OpenTelemetry-compatible, self-hostable, and provides automated hallucination detection with annotation workflows and integrations for LangChain, LlamaIndex, and OpenAI.

Symbl.ai Conversation Intelligence API

Symbl.ai REST and WebSocket APIs for conversation intelligence and real-time speech analytics. Enables AI agents to transcribe audio/video conversations, extract action items, topics, sentiment, and questions in real-time or from recordings, and integrate conversation insights into meeting and customer interaction workflows. Symbl.ai specializes in contextual understanding of spoken conversations.

Feast Feature Store

Open-source feature store for machine learning — manages the end-to-end lifecycle of ML features from definition to serving. Feast separates offline feature computation (batch training) from online feature serving (low-latency inference), synchronizing features between batch stores (BigQuery, Snowflake, Spark) and online stores (Redis, DynamoDB). Point-in-time correct training dataset generation prevents data leakage.

Google Cloud Speech-to-Text API

Google Cloud Speech-to-Text converts audio to text using deep learning models, supporting real-time streaming, batch transcription, and speaker diarization across 125+ languages.

Weights & Biases API

Weights & Biases (wandb) is an MLOps platform with REST and GraphQL APIs plus a Python SDK for tracking ML experiments, logging metrics and artifacts, managing model registries, and running hyperparameter sweeps — enabling agents to retrieve training history, compare runs, and manage model lifecycle.

Cloudflare Workers AI API

Runs inference on a curated catalog of open-source LLMs, embedding models, image generation models, and speech models directly at the Cloudflare edge from within Workers.

Google Gemini API

Google's multimodal LLM API with 1M+ token context, grounding with Google Search, and native tool calling for AI agents.

LangChain (Python)

Comprehensive framework for building LLM-powered applications in Python with chains, agents, memory, tools, and retrieval. LangChain provides abstractions for LLM calls, prompt templates, output parsers, vector stores, document loaders, and agent executors. The most widely-adopted LLM framework with the largest ecosystem of integrations. LangChain 0.3 reorganized into core, community, and integration packages.

WellSaid Labs API

WellSaid Labs REST API — enterprise-grade AI text-to-speech with studio-quality human-sounding voices for corporate training, e-learning, and professional narration, enabling agents to generate high-quality audio content at scale.

Azure OpenAI Service API

Microsoft's hosted Azure deployment of OpenAI models (GPT-4, GPT-3.5, DALL-E, Whisper, Embeddings) with enterprise-grade compliance, private networking, and Azure AD authentication.

Galileo AI

LLM evaluation and observability platform for production AI applications and agents. Galileo provides metrics for hallucination detection, context adherence, completeness, and chunk relevance specifically for RAG pipelines. Includes real-time monitoring of agent production traffic with automatic quality scoring, plus offline evaluation datasets and experiment tracking.

Humanloop

LLM prompt management, evaluation, and fine-tuning platform API that enables teams to version prompts, collect human feedback, run evaluations, and fine-tune models — serving as the operational layer between LLM APIs and production applications.

MCP-Bridge

Middleware that bridges the OpenAI API with MCP tools, allowing developers to expose MCP tool capabilities through an OpenAI-compatible API endpoint. Supports streaming and non-streaming chat completions with MCP tool calls, SSE bridge for external clients, REST API endpoints for MCP primitives, and optional API key authentication.

Together AI

Fast, scalable inference API for open-source LLMs including Llama, Mixtral, Qwen, and other open models, with an OpenAI-compatible endpoint for easy drop-in replacement.

Comet ML

ML experiment tracking and LLM observability platform that logs training metrics, compares experiments, manages model versions, and monitors production LLM applications via a REST API and Python SDK.

Speechmatics API

Speechmatics provides enterprise-grade speech recognition with best-in-class accuracy across 50+ languages, offering both batch and real-time WebSocket streaming APIs with speaker diarization and custom dictionary support.

BentoML

Open-source Python framework for building, shipping, and scaling AI/ML model serving APIs. BentoML packages ML models with their dependencies into 'Bentos' (deployable artifacts) that can run locally or on any cloud via BentoCloud (managed service). Supports all ML frameworks (PyTorch, TensorFlow, scikit-learn, vLLM, etc.) and handles batching, model runners, and async serving automatically.

Hopsworks Feature Store

Open-source ML platform combining a feature store, model registry, and model serving. Hopsworks provides batch and real-time feature pipelines, serverless feature computation, model versioning, and deployment. REST API and Python (HSFS) SDK for feature retrieval and model management. Hopsworks Serverless (managed cloud) provides a free tier for prototyping.

Google Vertex AI API

Google Vertex AI REST API — unified ML platform enabling agents to invoke Gemini models, access Model Garden (Llama, Claude via Garden), train and deploy custom models, run ML pipelines, manage datasets, and use grounding (Google Search, enterprise data) for factual AI responses.

Metaflow

Open-source ML workflow framework originally built at Netflix. Metaflow lets data scientists write ML workflows as Python classes with @flow and @step decorators, then executes them locally or on cloud compute (AWS Batch, Kubernetes, Azure) with automatic versioning, artifact tracking, and parameter sweeps. Designed to feel like regular Python while providing production-grade infrastructure management.

PEFT (HuggingFace)

Parameter-Efficient Fine-Tuning library — adapts large language models with minimal trainable parameters. PEFT features: LoRA (Low-Rank Adaptation) for attention weight modification, QLoRA (quantized LoRA with bitsandbytes), IA3, Prefix Tuning, Prompt Tuning, AdaLoRA, LoftQ, LoHa, get_peft_model() wrapper, PeftModel.from_pretrained() for loading adapters, merge_and_unload() for full model merging, and model.print_trainable_parameters() for inspection. Enables fine-tuning 7B-70B LLMs on consumer GPUs by training only 0.1-1% of parameters for agent specialization.

Perplexity API

Provides an OpenAI-compatible API for online LLM inference that combines real-time web search with language model generation, returning cited answers grounded in current web content.

Tecton Feature Platform

Enterprise feature platform built by the team behind Feast and Uber's Michelangelo. Tecton manages the full feature lifecycle: batch, streaming, and real-time feature computation with automatic materialization to online and offline stores. Provides feature monitoring, lineage, and governance. REST API and Python SDK for feature retrieval. Strong focus on production reliability and data freshness SLAs.

TruLens

Open-source LLM evaluation framework (now part of Snowflake) that measures RAG pipeline quality via the RAG Triad — Answer Relevance, Context Relevance, and Groundedness — using an instrumentation decorator pattern.

Botpress

Open-source conversational AI platform for building and deploying chat agents with LLM integration, NLU, and a visual flow builder. Botpress v12 is self-hosted and open source; Botpress Cloud is the managed offering. Provides a TypeScript SDK for building custom actions and integrations, a visual conversation flow editor, and built-in NLU for intent classification. Widely used for customer service bots, internal automation, and LLM-powered chat agents.

ClearML

End-to-end MLOps platform covering experiment tracking, dataset versioning, pipeline orchestration, and model serving in one open-source suite. ClearML auto-captures ML experiment metrics, parameters, models, and artifacts via Python SDK integration. Includes ClearML Data (dataset versioning), ClearML Pipelines (DAG execution), and ClearML Serving (model deployment). Self-hosted (open source) or ClearML Hosted (managed cloud).

Predibase

Managed fine-tuning and inference platform specializing in LoRA (Low-Rank Adaptation) fine-tuning of open-source LLMs. Predibase allows teams to fine-tune Llama, Mistral, Gemma, and other models using the LoRA/QLoRA technique with minimal GPU cost. Uses serverless LoRA serving — multiple fine-tuned adapters share the same base model weights, enabling cost-effective serving of many task-specific fine-tuned models without separate GPU allocations. Built on Ludwig (open-source ML training framework).

Stability AI API

Stability AI's platform API provides access to Stable Diffusion and Stable Image models for text-to-image generation, image editing (inpainting, outpainting, upscaling), and video generation via a REST interface.

Tavus API

Provides AI video personalization and real-time Conversational Video Interface (CVI) APIs for creating interactive digital twins that can hold live video conversations.

UpTrain

Open-source LLM evaluation framework with pre-built metrics for RAG pipelines, question answering, and agent outputs. UpTrain provides 20+ automated quality metrics including context relevance, faithfulness, response completeness, tonality, and code hallucination — scored using LLM-as-judge. Designed for evaluating RAG systems end-to-end: query quality, retrieval relevance, and generation faithfulness. Cloud platform provides managed evaluations without running local LLMs.

whylogs / WhyLabs

Open-source data logging library (whylogs) paired with managed monitoring platform (WhyLabs). whylogs computes statistical profiles of datasets and ML model inputs/outputs without storing raw data — only statistical summaries (histograms, counts, quantiles). WhyLabs platform uses these profiles for drift detection, data quality monitoring, and LLM content safety monitoring. Privacy-preserving: raw data never leaves your system.

HoneyHive

LLM evaluation and production monitoring platform that provides session tracing with metadata, pluggable evaluator functions (human, LLM-as-judge, or code-based), dataset management, and A/B prompt testing focused on production quality monitoring.

Label Studio

Open-source data annotation platform with a REST API that enables agents to create and manage annotation projects, import raw data, retrieve completed annotations, and integrate human labeling into ML pipelines — supporting text, images, audio, video, and time series.

LangChain Community Integrations

Provides 100+ community-maintained integrations for LangChain including vector stores, document loaders, LLM providers, chat models, embedding models, tools, and retrievers — extending langchain-core with concrete implementations.

Snowflake Cortex

Snowflake's built-in AI/ML layer that provides LLM functions (COMPLETE, SUMMARIZE, TRANSLATE, EXTRACT_ANSWER), vector search, and ML classification directly in SQL against data already in Snowflake — no data movement required.

Alibaba Qwen API (DashScope)

Provides hosted access to Alibaba's Qwen2.5 series models (7B to 72B, including Qwen2.5-Coder and Qwen2.5-Math) via the DashScope API, with an OpenAI-compatible endpoint and strong multilingual and coding capabilities.

Amazon Lex API

Build, deploy, and manage conversational chatbots and voice interfaces with intent recognition and slot filling, backed by the same NLU technology as Alexa.

Claude on Amazon Bedrock

Claude models (Haiku, Sonnet, Opus) accessed via Amazon Bedrock for enterprise workloads with AWS-native auth, logging, and compliance.

Snorkel AI

Data labeling and AI training data platform based on 'weak supervision' — programmatically labeling training data using heuristic functions (labeling functions) rather than manual annotation. Snorkel's approach: write Python functions that encode domain knowledge ('if text contains URGENT, label as high_priority'), then combine them with a generative model to produce probabilistic labels at scale. Used by Google, Stanford Medicine, and major enterprises to label millions of examples without per-example human labeling. Snorkel Flow is the enterprise platform; Snorkel open source is the framework.

Flowise

Open-source drag-and-drop UI for building LLM applications and agent workflows. Flowise lets you visually construct LangChain and LlamaIndex pipelines — connecting nodes (LLMs, vector stores, retrievers, tools, memory) into chatflows and agentflows without writing code. Every built workflow exposes a REST API endpoint for programmatic access. Used for building RAG chatbots, agent workflows, and LLM pipelines visually.

Giskard AI Testing

Open-source AI testing and quality assurance platform for LLMs and ML models. Giskard provides automated vulnerability scanning for LLMs (prompt injection, hallucination, stereotypes, toxicity), RAG pipeline evaluation, and model testing with a Python SDK. REST API and Python client for running scans, generating adversarial test cases, and retrieving vulnerability reports. Giskard Hub is the managed collaboration platform.

MetaGPT

Multi-agent framework that simulates a software engineering team — product manager, architect, engineer, QA. MetaGPT takes a one-line requirement and generates PRD, system design, code, tests, and documentation using coordinated LLM agents with defined roles. No REST API — runs as Python framework. Strong for autonomous software generation and multi-agent research. MIT licensed.

D-ID API

AI video generation API that animates still photos or AI-generated avatars to speak using text-to-speech or provided audio. D-ID's Clips API creates talking head videos from scripts in seconds — the AI avatar's face animates realistically with synchronized lip movements. Used for AI presenters, personalized video messages, e-learning, and interactive digital humans.

Deep Research

Self-hosted deep research tool that generates comprehensive research reports in about 2 minutes using configurable thinking and task LLM models. Combines multiple LLM providers (OpenAI, Anthropic, Google, Deepseek, Mistral, Ollama, etc.) with multiple search providers (Tavily, Searxng, Brave, Exa, Firecrawl). Includes MCP server support, knowledge graph generation, research history, and a multi-language web UI.

Langflow

Visual low-code tool for building and deploying LangChain and LlamaIndex applications. Langflow provides a drag-and-drop interface where each component is a Python class — you can mix visual flow building with Python code for custom components. Every Langflow flow exposes a REST API. More Python-centric than Flowise — supports Python custom components and direct code editing within the visual builder. Backed by DataStax (Astra DB vector database company).

AI21 Labs API

Provides access to AI21 Labs' Jurassic-2 and Jamba large language models for text generation, summarization, paraphrasing, and structured data extraction via an OpenAI-compatible REST API.

Braintrust

AI evaluation platform API for running structured LLM evals, managing prompt versions and datasets, and scoring model outputs against golden references — designed to make eval-driven LLM development systematic.

Determined AI

Open-source ML training platform providing distributed training, automated hyperparameter search, experiment tracking, and GPU cluster management. Determined optimizes GPU utilization across teams with preemptible scheduling, gang scheduling for distributed jobs, and automatic cluster scaling. Supports PyTorch, TensorFlow, and custom frameworks via a unified training API. Acquired by HPE (Hewlett Packard Enterprise) — integrated into HPE Machine Learning Development Environment.

Encord

Data-centric AI platform for annotating images, video, text, audio, and medical imaging. Encord differentiates with active learning (find highest-value samples to label), model-assisted labeling (use your model to pre-annotate), quality control automation, and a Python SDK for ML pipeline integration. Positions as a premium alternative to Scale AI and Labelbox with stronger annotation quality tooling and analytics. Recently open-sourced Encord Active (data quality tool).

HeyGen API

Generates AI avatar videos from text scripts, enabling programmatic creation of talking-head videos with customizable digital humans.

Skyvern

LLM-powered browser automation that uses vision + language models to navigate websites without predefined scripts. Unlike Playwright (which needs element selectors), Skyvern understands page context visually and linguistically — can fill forms, navigate multi-step flows, and extract data from any website using natural language task descriptions. Self-hostable and available as cloud API.

Labelbox

Enterprise data annotation and labeling platform for building ML training datasets. Labelbox provides labeling tools for images, video, text, audio, and geospatial data with quality control workflows, model-assisted labeling (MAL), and active learning integration. Includes a Python SDK for programmatic project management, annotation export, and workflow automation. Used by ML teams to create high-quality labeled datasets for model training.

Flyte

Open-source, Kubernetes-native workflow orchestration platform for ML and data pipelines. Originally built at Lyft. Flyte provides strongly-typed workflow definitions in Python, automatic parallelism, caching, versioning, and production-grade execution on Kubernetes. Supports multi-tenancy, resource allocation, and execution history with a rich UI. Used for large-scale ML training, evaluation, and data processing pipelines.

Google Cloud Speech-to-Text API

Real-time and batch automatic speech recognition API supporting 125+ languages, with streaming transcription, word-level timestamps, speaker diarization, and custom vocabulary.

Neptune.ai API

Neptune.ai is an ML metadata store and experiment tracking platform with a Python SDK and REST API that allows agents to log, query, and compare experiment metrics, parameters, and artifacts across runs, and manage a model registry with version promotion workflows.

Hume AI

Empathic AI platform providing voice-based conversational AI (EVI — Empathic Voice Interface) with emotional intelligence. EVI adapts tone, pace, and language based on detected emotional cues in user speech. Also offers expression measurement APIs for analyzing emotions from faces, voices, and physiological signals. Targets human-AI interaction with emotional awareness.

Roboflow

Computer vision platform API that enables agents to upload and annotate image datasets, train and deploy object detection and classification models, and run inference on images — covering the full CV model lifecycle from raw data to deployed endpoint.

bitsandbytes

GPU quantization library for LLMs — enables loading and running large language models in 4-bit or 8-bit quantization, dramatically reducing GPU memory requirements. bitsandbytes features: load_in_8bit and load_in_4bit via HuggingFace Transformers, BitsAndBytesConfig for quantization settings (bnb_4bit_compute_dtype, bnb_4bit_quant_type nf4/fp4, bnb_4bit_use_double_quant), Int8 linear layers for inference, 8-bit Adam optimizer (50% memory reduction during training), and QLoRA integration. Enables running 7B agents on 6GB GPUs and 70B agents on 24GB GPUs.

ClipDrop API

Stability AI's ClipDrop API offering multiple AI image operations: background removal, image upscaling, inpainting, reimagine, sketch-to-image, and text-to-image generation.

Stable Diffusion API (Stability AI)

Latent diffusion model for text-to-image and image-to-image generation, available as open-source weights for self-hosting (via ComfyUI/Automatic1111) or as a managed REST API through Stability AI.

Cartesia API

Delivers ultra-low-latency text-to-speech via the Sonic model with sub-100ms time-to-first-byte, optimized for real-time conversational AI agents.

Lepton AI

AI cloud platform for running LLMs and ML models with a Python-native deployment experience. Lepton provides hosted LLM APIs (Llama 3, Mistral, Qwen, etc.) at competitive pricing, plus a deployment platform for custom Python AI applications. Notable for the LeptonAI Python SDK that treats Python functions as deployable services. Founded by ex-Meta/CMU researchers.

Luma AI (Dream Machine API)

AI video generation API (Dream Machine) that creates high-quality 5-second video clips from text prompts or images. Also offers 3D generation from images (Genie) and NeRF-based 3D scene reconstruction. Dream Machine is known for high motion quality and photorealism compared to competitors. REST API for programmatic video generation in agent content pipelines.

Relevance AI

No-code AI agent builder that lets developers and non-technical users create, deploy, and orchestrate LLM-powered agents with tool chains, data tables, and multi-agent workflows via a visual interface and REST API.

AWS Rekognition

Computer vision API that detects objects, scenes, faces, text, and explicit content in images and videos, and supports facial comparison and search against collections.

AWS Textract

ML-powered document analysis service that extracts text, tables, forms, signatures, and structured data from PDFs and images — going beyond OCR to understand document layout and semantics.

CAMEL-AI

Open-source multi-agent framework implementing communicative agents — LLM agents that converse with each other to solve tasks via role-playing. CAMEL (Communicative Agents for Mind Exploration of Large Language Model Society) pioneered the role-playing agent approach. Includes tools for memory, code execution, web search, data generation, and multi-agent society simulations. Python library with no REST API.

CoexistAI

Modular research assistant framework that combines multiple data sources (web search, Reddit, YouTube, maps, git repos, local files) into unified workflows. Provides FastAPI endpoints for each data source, supports multiple LLM providers (Gemini, OpenAI, Groq, Ollama), includes text-to-podcast and text-to-speech generation, and offers MCP protocol support for agent integration.

Clarifai API

Clarifai is a full-stack AI platform offering pre-trained computer vision, NLP, and audio models via API, plus MLOps infrastructure for training, deploying, and managing custom models.

GitHub Copilot API (Extensions)

GitHub Copilot's extensibility API allowing developers to build Copilot Extensions that add custom AI agents and tools accessible within GitHub Copilot Chat.

OpenAI Realtime API

WebSocket API providing real-time bidirectional audio conversation with GPT-4o, including built-in voice activity detection, function calling, and text/audio interleaving.

Resemble AI

Voice AI platform specializing in custom voice cloning and real-time text-to-speech synthesis. Resemble lets you clone any voice from a short audio sample (as little as 3 seconds) and generate speech via API. Supports real-time streaming TTS, fill-in-the-blank audio editing (changing specific words in existing recordings), and neural audio watermarking for AI-generated voice detection. Used for branded voice assistants, personalized TTS, and content creation.

Comet ML API

Comet ML is an MLOps platform with REST API and Python SDK for tracking ML experiments, managing model registries, and running LLM evaluation — enabling agents to query experiment metrics, retrieve model versions, compare runs, and manage production model lifecycle.

Fiddler AI Observability

Enterprise ML and AI observability platform monitoring model performance, data drift, bias/fairness, and feature attribution in production. Fiddler supports traditional ML models and LLM applications — monitoring LLM outputs for hallucination, toxicity, and quality metrics. REST API enables programmatic monitoring setup, alert management, and metric retrieval for automated MLOps workflows.

KServe

Kubernetes-native model inference platform for serving ML models at scale. KServe (formerly KFServing) provides standardized model serving on Kubernetes with features including multi-framework support (TensorFlow, PyTorch, XGBoost, ONNX, custom), autoscaling (including scale-to-zero), canary deployments, model explainability, and a unified prediction API. Designed as the production inference layer for Kubeflow but works standalone. CNCF sandbox project.

ComfyUI

Node-based visual workflow editor for Stable Diffusion image generation. ComfyUI exposes a REST API for programmatic workflow execution — agents can submit JSON workflow graphs and receive generated images. Runs locally on GPU (CUDA, MPS for Mac). Supports SDXL, FLUX, ControlNet, LoRA, and hundreds of community nodes via ComfyUI Manager. De facto standard for advanced diffusion workflows.

IBM Quantum (Qiskit Runtime) API

IBM Quantum provides cloud API access to real quantum hardware and simulators via the Qiskit Runtime Python SDK, enabling quantum circuit execution, variational algorithms, and quantum error mitigation at scale.

TRL (HuggingFace)

Transformer Reinforcement Learning library for LLM alignment — implements state-of-the-art fine-tuning and alignment techniques. TRL features: SFTTrainer for supervised fine-tuning (easier than raw Trainer), DPOTrainer for Direct Preference Optimization, PPOTrainer for RLHF, RewardTrainer for reward model training, GRPOTrainer for Group Relative Policy Optimization, ORPO, KTO, curriculum sampling, dataset formatting helpers, LoRA integration via PEFT, and DataCollatorForCompletionOnlyLM for chat template formatting. Used for aligning agent LLMs with desired behaviors.

AWS Transcribe

Automatic speech recognition (ASR) service that converts audio and video recordings to accurate text transcripts, with speaker identification, custom vocabulary, and streaming support.

AutoGen (Microsoft)

Microsoft's open-source framework for building multi-agent AI systems — agents can converse, write and execute code, collaborate in groups, and use tools in configurable chat patterns.

Meta Llama API

Provides official hosted access to Meta's Llama models directly from Meta via an OpenAI-compatible REST API at llama.developer.meta.com, currently in limited/waitlist-based availability.

Photoroom API

AI photo editing API combining background removal, background replacement, shadow generation, and product photo enhancement — focused on e-commerce and business use cases.

MultiOn API

AI web agent API that executes natural language web tasks via a managed browser. MultiOn's API takes a user command ('book a table at X restaurant for 2 people on Friday') and executes it autonomously in a browser, returning results. Designed as an action API for AI agents that need to perform web tasks — buying, booking, searching, filling forms — without custom browser automation code.

Gemini Flow

An archived AI orchestration platform that coordinated 66 specialized agents using A2A and MCP dual protocol support, integrating Google AI services (Veo3, Imagen4, Lyria, etc.) for enterprise-scale multi-agent workflows with Byzantine fault-tolerant consensus.

WhyLabs

AI observability and LLM security platform with a REST API and open-source whylogs library that monitors data quality, detects drift, and provides real-time LLM guardrails — blocking or flagging harmful, off-topic, or policy-violating LLM inputs and outputs.

GPT Researcher

Autonomous research agent that plans research questions, scrapes and validates multiple web and local sources, then synthesizes findings into detailed cited reports exceeding 2000 words with 20+ sources.

Graphiti

Temporal knowledge graph framework for AI agents. Built by the Zep team, Graphiti ingests episodic data (conversations, facts, events) and builds a knowledge graph that preserves temporal relationships — when facts were learned, how they changed over time, and which supersede older facts. Designed for long-term agent memory where fact evolution and temporal reasoning matter.

Flux API (Black Forest Labs)

Black Forest Labs' Flux image generation models (flux-dev, flux-schnell, flux-pro) accessed directly via the BFL REST API, delivering state-of-the-art text-to-image quality with strong prompt adherence.

Amazon SageMaker API

Build, train, tune, deploy, and monitor ML models at scale on managed AWS infrastructure, covering the full MLOps lifecycle from data preparation to production inference.

Simli API

Real-time AI avatar API that streams a photorealistic talking face synchronized to audio. Simli takes audio bytes (from TTS or live voice) and returns low-latency video frames of a digital human speaking. Purpose-built for agent interfaces — pairs with LLMs and TTS providers (ElevenLabs, Cartesia, etc.) to create conversational AI avatars. Key differentiator: sub-500ms end-to-end latency for streaming face animation.

Seldon Core

Enterprise-grade ML model serving platform for Kubernetes with advanced features including multi-armed bandits, outlier detection, concept drift detection, and model graphs (chaining models in pipelines). Seldon Core v2 is a complete rewrite with a Pipeline abstraction for composing models, transformers, and routers into inference graphs. Used in regulated industries for production ML deployment with explainability, monitoring, and governance. Backed by Seldon Technologies (commercial company).

xAI Grok API

Provides access to xAI's Grok family of large language models (Grok-1, Grok-2, Grok-Vision) via an OpenAI-compatible API, with a unique differentiator of real-time access to X/Twitter data for up-to-date world knowledge.

Cognee

Open-source AI memory framework that builds knowledge graphs from unstructured data (documents, conversations, web pages) for agent retrieval. Cognee extracts entities, relationships, and facts from text and constructs a queryable knowledge graph. Enables agents to reason over structured knowledge rather than just semantic similarity search — combining graph traversal with vector search.

Adobe Firefly API

Adobe Firefly generative AI API for creating images, vectors, and creative assets from text prompts, with enterprise-grade content credentials and commercial-safe training data.

Azure AI Services (Cognitive Services)

Microsoft Azure's suite of pre-built AI APIs — covering vision, speech, language understanding, document intelligence, content safety, and OpenAI models — unified under a single Azure resource and billing model.

PlayHT API

PlayHT provides a text-to-speech API with 900+ AI voices, instant voice cloning from a 10-second sample, and low-latency streaming synthesis suitable for real-time conversational AI applications.

Kubeflow

Cloud-native ML platform for Kubernetes that provides components for the complete ML lifecycle: Pipelines (workflow orchestration), Training Operator (distributed training for TensorFlow/PyTorch/MPI/XGBoost), Notebooks (JupyterLab management), Katib (hyperparameter tuning), and KServe (model serving). Kubeflow is an umbrella platform — you can deploy all components or just the ones you need. Used by enterprise teams building production ML platforms on Kubernetes at Google, AWS, Microsoft, and others.

Azure Cognitive Services API

Azure Cognitive Services provides pre-built AI REST APIs for language understanding, computer vision, speech recognition and synthesis, translation, and document intelligence — all deployable within Azure compliance boundaries.

AgentChat

An LLM-based intelligent agent platform that combines multi-agent collaboration, RAG knowledge retrieval, MCP server integration, and memory management for complex conversational AI workflows.

Pika API

AI video generation API that creates short video clips from text prompts or images. Pika 1.5 and 2.0 produce 3-5 second high-quality video clips with natural motion, scene transitions, and visual effects. API access enables agent-driven content creation pipelines to programmatically generate video content at scale.

Murf AI API

Murf AI provides a text-to-speech API with 120+ AI voices across 20 languages, offering studio-quality voiceovers with pitch, speed, and emphasis controls for agent-driven audio generation.

MCP Client for Ollama (ollmcp)

Terminal-based MCP client that connects local Ollama language models to MCP servers. Supports agent mode with iterative tool execution, multi-server connections, STDIO/SSE/Streamable HTTP transports, MCP prompts, human-in-the-loop tool approval, thinking mode, and conversation history export. This is a CLIENT, not an MCP server.

Lemonade

Local AI inference server supporting text generation (LLM), image generation, speech-to-text, and text-to-speech across CPU, GPU (Vulkan/ROCm), NPU (XDNA2), and Apple Silicon. Exposes an OpenAI-compatible REST API on localhost:8000 for drop-in integration with existing tools.

LLM Agents Ecosystem Handbook

A curated reference collection and educational handbook for building LLM agents. Includes framework comparisons (LangGraph, AutoGen, CrewAI, etc.), 60+ agent skeleton templates, RAG tutorials, evaluation framework summaries, and starter code. This is documentation and templates, NOT an MCP server.

IBM Watsonx.ai

IBM's enterprise generative AI platform providing hosted foundation models (Llama 3, Granite, Mistral, etc.), embeddings, and RAG pipelines via REST API and Python SDK. Part of the IBM Cloud and available on-premises via IBM Cloud Pak for Data.

Dive

An open-source desktop application that serves as an MCP host, connecting any LLM (ChatGPT, Anthropic, Ollama, OpenAI-compatible) with MCP servers through a unified chat interface. Supports stdio and SSE MCP transports, includes built-in tools (Fetch, File Manager, Bash), offers 24+ language support, and provides an installer agent for automatic MCP server configuration. Available in Electron and Tauri variants across Windows, macOS, and Linux.

Kling AI API

Kling AI is a high-quality AI video generation model by Kuaishou Technology offering competitive text-to-video and image-to-video generation via REST API.

MaxKB

Open-source enterprise AI agent platform that combines RAG (retrieval-augmented generation) with agentic workflows and MCP tool-use support. Enables document upload, web crawling, automatic text segmentation and vectorization, and zero-code integration into existing business systems for intelligent Q&A. Supports multiple LLM backends including DeepSeek, Llama, Qwen, OpenAI, Claude, and Gemini.

Pika API

Pika is a consumer-focused AI video generation platform with a beta API for text-to-video and image-to-video creation.

Midjourney API

Midjourney — AI image generation platform known for artistic, high-quality image outputs, accessible primarily via Discord bot interface with no official public REST API, though third-party unofficial APIs exist for programmatic access.

-FastMCP-Godot-RAG-

-mcp-to-skill-converter

Convert any MCP server into a Claude Skill with 90% context savings

.prompts

.prompts, the home to all your AI prompts, everywhere you need them.

0nMCP

Universal AI API Orchestrator — 564 tools, 26 services. Vault, Deed Transfer, App Engine.

0xHumans Protocol MCP

MCP for AI agents: financing, skills, lending on Base

1c-mcp

Curated list of MCP servers for 1C:Enterprise ecosystem | Каталог MCP-серверов для экосистемы 1С:Предприятие

1mcp

Let your agent write code and execute code directly in the browser with WASM

1scan

A unified API gateway for integrating multiple etherscan-like blockchain explorer APIs with Model Context Protocol (MCP) support for AI assistants.

250812-html-reader-mcp-server

250908-html-mcp-server-go

3dsmax-mcp

3dsmax mcp server for Claude and other AI agents.

3xpl-mcp

A Model Context Protocol (MCP) server for querying data from 48 blockchains using 3xpl.com blockchain explorer JSON API

5ire

5ire is a cross-platform desktop AI assistant, MCP client. It compatible with major service providers, supports local knowledge base and tools via model context protocol servers .

@abhaybabbar/retellai-mcp-server

RetellAi MCP Server

@abhiz123/todoist-mcp-server

MCP server for Todoist API integration

@agentbox/mcp-server

AgentBox MCP Server — Remote browser sessions for AI agents

@aibtc/mcp-server

Bitcoin-native MCP server for AI agents: BTC/STX wallets, DeFi yield, sBTC peg, NFTs, and x402 payments.

@aikidosec/mcp

Aikido MCP server

@apify/actors-mcp-server

Apify MCP Server

@assistant-ui/mcp-docs-server

MCP server for assistant-ui documentation and examples

@browserbasehq/mcp-server-browserbase

MCP server for AI web browser automation using Browserbase and Stagehand

@cap-js/mcp-server

Model Context Protocol (MCP) server for AI-assisted development of CAP applications.

@cocal/google-calendar-mcp

Google Calendar MCP Server with extensive support for calendar management

@codacy/codacy-mcp

Codacy MCP server

@cyanheads/git-mcp-server

A secure and scalable Git MCP server enabling AI agents to perform comprehensive Git version control operations via STDIO and Streamable HTTP.

@drawio/mcp

Official draw.io MCP server for LLMs - Open diagrams in draw.io editor

@dynatrace-oss/dynatrace-mcp-server

Model Context Protocol (MCP) server for Dynatrace

@elixium.ai/mcp-server

MCP Server for Elixium.ai

@esaio/esa-mcp-server

Official MCP server for esa.io - STDIO transport version

@florentine-ai/mcp

MCP server for Florentine.ai - Natural language to MongoDB aggregations

@forcefield/mcp-server

AI-powered corporate compliance MCP server

@gongrzhe/server-gmail-autoauth-mcp

Gmail MCP server with auto authentication support

@hexsleeves/tailscale-mcp-server

A Model Context Protocol (MCP) server that provides seamless integration with Tailscale's CLI commands and REST API, enabling automated network management and monitoring through a standardized interface.

@hugeicons/mcp-server

MCP server for Hugeicons search and usage documentation

@hypertrack/mcp-server

HyperTrack MCP Server - Query your HyperTrack account through AI assistants

@inkeep/agents-mcp

Model Context Protocol (MCP) Server for the *@inkeep/agents-mcp* API.

@inscada/mcp-server

inSCADA MCP Server — SCADA operations via MCP protocol

@knip/mcp

Knip MCP Server

@kraiter/mcp-server

MCP server for the Kraiter email platform

@leonardsellem/n8n-mcp-server

Model Context Protocol (MCP) server for n8n workflow automation

@lovrabet/dataset-mcp-server

MCP server for Lovrabet Dataset access

@mastra/mcp-docs-server

MCP server for accessing Mastra.ai documentation, changelogs, and news.

@mcp-apps/kusto-mcp-server

MCP server for interacting with Kusto databases

@memberjunction/ai-mcp-server

MemberJunction: Model Context Protocol (MCP) - Server Implementation

@microsoft/workiq

MCP server for Microsoft 365 Copilot

@multimail/mcp-server

MCP server for MultiMail — email for AI agents

@nexus2520/jira-mcp-server

MCP server for Jira API integration - supports Jira Cloud

@openbnb/mcp-server-airbnb

MCP server for Airbnb search and listing details

@pandacss/mcp

MCP server for Panda CSS AI assistants

@paylobster/mcp-server

MCP server for PayLobster agent payment infrastructure

@regle/mcp-server

MCP Server for Regle

@resourcexjs/mcp-server

ResourceX MCP Server for AI Agents

@roychri/mcp-server-asana

MCP Server for Asana

@sap-ux/fiori-mcp-server

SAP Fiori - Model Context Protocol (MCP) server

@shortcut/mcp

Shortcut MCP Server

@siemens/element-mcp

Element MCP server

@skillsmith/mcp-server

MCP server for Skillsmith skill discovery

@softeria/ms-365-mcp-server

A Model Context Protocol (MCP) server for interacting with Microsoft 365 and Office services through the Graph API

@stripe/mcp

A command line tool for setting up Stripe MCP server

@supermodeltools/mcp-server

MCP server for Supermodel API - code graph generation for AI agents

@sylphx/mcp-server-sdk

Pure functional MCP server SDK for Node.js and Bun - type-safe, high performance

@taazkareem/clickup-mcp-server

ClickUp MCP Server - Powering AI Agents with full ClickUp task, document, and chat management capabilities.

@theia/ai-mcp-server

Theia - MCP Server

@tsmztech/mcp-server-salesforce

A Salesforce connector MCP Server.

@uidbai/mcp-server

UIDB Design System MCP Server for AI coding tools

@unthread-io/mcp-server

Unthread MCP Server

@upstash/context7-mcp

MCP server for Context7

@vapi-ai/mcp-server

Vapi MCP Server

@variflight-ai/variflight-mcp

Variflight MCP Server

@vibescope/mcp-server

MCP server for Vibescope - AI project tracking tools

@vizejs/musea-mcp-server

MCP server for building Vue.js design systems - component analysis, documentation, variant generation, and design tokens

@voltagent/mcp-server

VoltAgent MCP server implementation for exposing agents, tools, and workflows via the Model Context Protocol.

@wonderwhy-er/desktop-commander

MCP server for terminal operations and file editing

@z_ai/mcp-server

MCP Server for Z.AI - A Model Context Protocol server that provides AI capabilities

@zapier/zapier-sdk-mcp

MCP server for Zapier SDK

@zeplin/mcp-server

Zeplin’s official MCP server for AI-assisted UI development

A-Scope-Research

基于MCP（Model Context Protocol）的中国A股市场智能分析系统，通过多个专业智能体的协作和辩论，为投资决策提供全面的分析支持。（主要是基于我之前开发的FinanceMCP进行开发的）

A2A-MCP-Server

A mcp server that bridges the Model Context Protocol (MCP) with the Agent-to-Agent (A2A) protocol, enabling MCP-compatible AI assistants (like Claude) to seamlessly interact with A2A agents.

A2ABench

Agent-native developer Q&A with REST, MCP, and A2A discovery endpoints.

AEO Audit

AEO audit: score any website 0-100 for AI visibility. Checks schema, meta, content, AI crawlers.

AG-UI-chatbot

A Next.js chatbot that uses Large Language Models (LLMs) and an MCP server to generate dynamic, structured UI templates from user requests, instantly creating dashboards, tables, charts, cards, and more.

AI Training Data Quality

Assess AI training data quality, detect bias patterns, evaluate dataset provenance, and analyze d...

AI-DevOps-MCP-Server

AI-Diagram-Prototype-Generator-MCP-Server-

AI Diagram & Prototype File Generator (MCP Server)

AI-MCP-Cleint-Server

AIRA-SemanticScholar

Semantic Scholar MCP

AIquila — Nextcloud MCP Server

MCP server for Nextcloud: file management, search, calendar, contacts, and system status.

APIWeaver

A FastMCP server that dynamically creates MCP (Model Context Protocol) servers from web API configurations. This allows you to easily integrate any REST API, GraphQL endpoint, or web service into an MCP-compatible tool that can be used by AI assistants like Claude.

ATLAS

Universal MCP server for logistics. Connect any TMS/WMS to AI agents. Shipments, carriers, tenders, tracking — all via Model Context Protocol.

ATOM Pricing Intelligence

The Global Price Benchmark for AI Inference. 1,600+ SKUs, 40+ vendors, 25 indexes.

ATSPI-MCP-Server

A MCP server that leverages the Linux accessibility API, ATSPI, for gaining context on system state

AWS MCP Server

AWS MCP Server lets AI securely access AWS using docs, API calls, and SOP workflows.

AWS MCP Server

A managed MCP server enabling AI agents to access AWS using docs, API calls, and SOP workflows.

Achriom

The media memory layer for AI agents and their humans. Books, movies, music, shows, and anime.

AdAdvisor MCP Server

Query Meta Ads performance data — accounts, campaigns, ad sets, ads, metrics & settings.

Afterpaths

Session memory for AI coding agents. Search past sessions, extract rules, and track what works.

Agent Analytics

Analytics your AI agent can actually use. Track, experiment, and optimize via MCP.

Agent Arena Registry

On-chain ERC-8004 agent registry. Search, register, and check reputation across 16 chains.

Agent Interviews MCP Server from MCPBundles

Agent Interviews is an AI-powered research platform designed to conduct qualitative interviews an...

Agent MCP Gateway

On-demand tool discovery for all your MCPs and per-subagent MCP controls to preserve context window.

Agent Observability

Agent observability: structured logging, cost tracking, and compliance audit trails

Agent Passport System — Cryptographic Identity for AI Agents

Cryptographic identity and trust protocol for AI agents. 38 tools, 8 layers, 264 tests.

Agent Safe

Email safety MCP server. Detects phishing, prompt injection, CEO fraud for AI agents.

Agent Skills Search Server

Search and discover Agent Skills from the skills.sh registry. Powered by HAPI MCP server.

Agent-Fusion

Agent Fusion is a local RAG semantic search engine that gives AI agents instant access to your code, documentation (Markdown, Word, PDF). Query your codebase from code agents without hallucinations. Runs 100% locally, includes a lightweight embedding model, and optional multi-agent task orchestration. Deploy with a single JAR

AgentBoard

A switchboard for AI in your browser: wire in any model, script WebMCP tools, connect remote MCP servers, bring your commands.

AgentCrew

Chat application with multi-agents system supports multi-models and MCP

AgentDNS-Node

AgentDNS·Node makes it easy to manage and scale multiple MCP (Model Context Protocol) servers by organizing them into flexible Streamable HTTP (SSE) endpoints—supporting access to all servers, individual servers, or logical server groups.

AgentHC Market Intelligence

Market intelligence for AI agents. Real-time data, cross-market analysis, and regime detection.

AgentHotspot

Search thousands of MCP connectors from the AgentHotspot marketplace via your AI agent.

AgentHub - Lean MCP Orchestrator

Enables coding agents to coordinate edits, reviews, and escalations without file locking conflicts

AgentNet

Agent-to-agent referral network. Discover, recommend, and refer users between AI agents via MCP.

AgentRunKit

A lightweight Swift 6 framework for building LLM-powered agents with type-safe tool calling. Zero dependencies, full Sendable compliance, multi-provider support.

AgentStack

AgentStack is a production-grade multi-agent framework built on Mastra, delivering 50+ enterprise tools, 25+ specialized agents, and A2A/MCP orchestration for scalable AI systems. Focuses on financial intelligence, RAG pipelines, observability, and secure governance. ACP Openclaw, Gemini CLI, Opencode

AgentUp

Portable , scalable , secure AI Agents

AgentX-mcp-servers

List of open sourced MCP servers. MIT license. Managed by AgentX with love.

Agentfy

🤖 Agentfy is a modular microservices architecture designed to process user requests and execute workflows across multiple social media platforms. ASK ONCE, LET THE AGENT DO THE REST!

Agentic Ads

Ad network for AI agents — monetize MCP servers with contextual ads. 70% revenue share.

Agentic UI Generator for Angular

AI development agent using Kendo UI to rapidly create and style quality web UIs or Pages.

Agentic-RAG-with-MCP-Server

Agentic RAG with MCP Server

Aguara MCP

Security scanner for AI agent skills and MCP servers

AiPayGent — Claude AI Tools

Claude-powered AI tools: research, write, code, analyze, translate, debate, pitch, score, and more.

Ai_agents

This is a repository of collection of many agents build on top of Langchain , Langgraph, MCP and so many amazing tools

Air-Quality-Trends-Analysis-Project

Full-stack air quality analytics platform built with FastAPI, React, and MySQL. Aggregates multi-source PM2.5/PM10 data, performs multi-city comparison and time-series forecasting (SARIMAX), and integrates an LLM-based planning agent with tiered access, secure APIs, and PDF reporting.

Airweave Search

MCP server for searching Airweave collections with natural language queries.

Alph

Universal MCP Server Configuration Manager

Amazing-Marvin-MCP

Model Context Provider for Amazing Marvin productivity app - Access your tasks, projects, and categories in AI assistants

Amazon ECS MCP Server

AI-powered Amazon ECS workload management

Amazon EKS MCP Server

AI-powered Amazon EKS cluster management and troubleshooting

An MCP-native URL preflight scanning service for autonomous agents.

Scans links for threats and confirms intent alignment with high accuracy.

Android-Mobile-MCP

🤖 This MCP server enabling AI agents to control Android devices.

Anemoi

Anemoi: A Semi-Centralized Multi-agent Systems Based on Agent-to-Agent Communication MCP server from Coral Protocol

Anima MCP Server

Connect AI coding agents to Anima Playground, Figma, and your design system.

Antigravity-unity-mcp-server

AI Control for Unity

AnyLoom-AnythingLLM-Local-AI-agentic-DyTopo-swarm

ChatGPT-like AI that runs 100% locally on your hardware. No subscriptions, no cloud, complete privacy. Multi-agent swarm + 10 MCP tools + hybrid RAG vector DB + . Runs on one GPU (RTX 5090 recommended)

Apiiro Guardian Agent

Apiiro Application Security Posture Management (ASPM) tools for AI coding assistants.

Apollo_BlockChain_Explorer_Hub

A powerful, AI-driven blockchain explorer powered by specialized Pydantic agents. This project uses a FastMCP server to expose tools for querying chain data, analyzing accounts, and checking transaction statuses directly within the Claude Desktop app, including complex cross-agent analytical workflows.

ArcAgent MCP

ArcAgent MCP server for bounty discovery, workspace execution, and verified coding submissions.

Arca

Arca is a private data vault where your AI stores your structured data, semantic memory and skills.

Archive-Agent

Find your files with natural language and ask questions.

Aristocles Data API

Subscription pricing, trade costs, and financial data for AI agents across 5 countries.

AskSlackBot

AskSlackBot is a Slack bot management system built with Django, FastAPI, and LangGraph Agents, integrated with Slack via the Slack Bolt SDK for Python.

AskUserQuestionPlus

A MCP server (Streamable HTTP) for asking user questions via a web interface, inspired by the Claude Code AskUserQuestion Tool.

Attestix

AI agent identity, W3C credentials, EU AI Act compliance. 47 MCP tools.

Augmented-Nature-UniProt-MCP-Server

A comprehensive Model Context Protocol (MCP) server providing advanced access to the UniProt protein database.

AutoTS

Automated time series forecasting with model search, anomaly detection, and event risk analysis

Awesome Copilot MCP Server

Model Context Protocol server for awesome-copilot agents and collections

Awesome Copilot MCP Server

An MCP server that stores Copilot customizations from the Awesome Copilot repository

Awesome-AI-Engineering

The Full-Stack LLM Engineering Playbook. Architectural patterns for Agents (MCP) & RAG, coupled with advanced Post-Training recipes (SFT, DPO, QLoRA) for domain adaptation. Covers Data Pipelines, Evaluation Frameworks, and System Design.

Awesome-Claude-MCP-Servers

A curated list of Model Context Protocol (MCP) servers optimized for Claude AI assistants.

Awesome-MCP

Awesome ModelContextProtocol resources - A curated list of MCP resources

Awesome-MCP-Servers-directory

A comprehensive collection of Model Context Protocol (MCP) servers categorized by functionality. This repository helps developers and AI enthusiasts discover and utilize the wide array of available MCP servers for various applications.

Azure-AI-Foundry-Agent-with-MCP-Server

An example of using an MS Teams Bot to chat with Azure AI Foundry Models and Agents (which may have access to an MCP Server).

BTCFi API

Bitcoin data for AI agents. 27 tools with x402 micropayments. No API keys needed.

BaseLayer

Re-usable multi part components built on React Aria and TailwindCSS.

Basic mail server

Still work in progress

Bedrock-Gateway

This project is a production-ready MCP (Model Context Protocol) server that provides unified access to 15+ AWS Bedrock AI models. Built with FastMCP for robust server implementation and includes battle-tested client utilities for seamless integration into existing Python projects.

Bezal — Local Business Intelligence for AI Agents

Search 7,000+ local service businesses across America by category, location, or keyword.

BigVik193-reddit-ads-mcp-api

Manage Reddit advertising end to end across accounts, funding methods, campaigns, ad groups, and a…

BinAssistMCP

Binary Ninja plugin to provide MCP functionality.

Bitbucket MCP

Model Context Protocol (MCP) server for Bitbucket Cloud and Server API integration

BitbucketMcpServers

C# + Bitbucket API + MCP

Bitrix24

MCP server enabling AI agents to manage Bitrix24 features via standardized protocol

Blender-MCP-Server

MCP server addon for Blender - Control Blender via AI agents through 51 powerful tools. Made to be used with PolyMCP for intelligent tool orchestration. Features thread-safe execution, auto-dependency installation, and complete 3D workflow automation.

Bookmark Lens

Local-first bookmark management with semantic search and AI-powered organization

BoondManager MCP Server

MCP Server for BoondManager API - 158 tools across 36 domains for ERP/CRM data

BoostedTravel

Flight search & booking for AI agents. 400+ airlines, $20-50 cheaper than OTAs.

Bostrom MCP

86-tool MCP server for Bostrom blockchain: read chain state and sign transactions

BowenXU0126-aistudio_hw3

Send personalized greetings with optional pirate flair. Compose friendly salutations for any name…

BrainBrainBrains

Persistent memory + context layer for AI dev teams. 17 tools via MCP.

BrainstormRouter MCP Server

AI routing, memory, guardrails, and governance. Routes across Claude, GPT, Gemini.

Bridge MCP

Visual Desktop Bridge - Give any AI full control over Windows to automate apps and inputs.

Bright Security

Enables AI agents to access Bright Security tools for app discovery and security testing.

BuildMCPServer

A complete walkthrough on how to build an MCP server to serve a trained Random Forest model and integrate it with Bee Framework for ReAct interactivity.

Bulwark

AI agent governance: content scanning, audit logs, policy evaluation, session management.

BurpSuite-MCP-Server

BurpSuite MCP Server: A powerful Model Context Protocol (MCP) server implementation for BurpSuite, providing programmatic access to Burp's core functionalities.

Business.AI.Demo

This project demonstrates how to integrate AI capabilities into a typical business application with .NET Platform It showcases a common scenario where business events flow through the system and get processed, stored, and then made available for AI-powered interactions.

CAD-MCP

CAD MCP Server

CAPI Gateway

Apache Camel API Gateway with REST-to-MCP bridging for LLM agents.

CLEO MCP Server

Task management for solo developers and AI coding agents — CQRS pattern, 177 operations

CSE-MCP-Server

CSE MCP Server is a Model Context Protocol (MCP) server that provides structured, real-time and historical data access for the Colombo Stock Exchange (CSE), enabling AI agents and applications to query, analyze, and integrate Sri Lankan market data seamlessly.

CV Forge

Forge powerful, ATS-friendly CVs tailored to any job - an MCP server for intelligent CV generation

CacheBash

Let your AI sessions talk to each other — messaging, tasks, sessions, and alerts

Cairn

Persistent memory for AI agents and humans. Store, search, and discover patterns.

Canvs

AI-powered diagrams, mind maps, flowcharts on a free unlimited collaborative whiteboard

CarrotAI

CarrotAI is a cutting-edge AI agent application that delivers real-time streaming chat via Server-Sent Events (SSE) with built-in Model Control Protocol (MCP) integration. It supports concurrent connections to multiple SSE MCP servers and provides user interfaces in English, Chinese, and Japanese.

Catholic Greatness

AI Catholic formation — spiritual direction, saints, scripture, and semantic search.

ChainAware Behavioural Prediction MCP Server

AI-powered tools to analyze wallet behaviour prediction, fraud detection and rug pull prediction.

Chanakya-Local-Friend

Chanakya is an advanced, open-source, and self-hostable voice assistant designed for privacy, power, and flexibility. It leverages local AI/ML models to ensure your data stays with you. It Integrates with 1000+ third-party MCP servers including Home Assistant.

ChartPane

Renders interactive Chart.js charts and dashboards inline in AI conversations.

ChatGPT-x-DeepSeek-x-Grok-x-Claude-x-Perplexity-Linux-APP

Electron-based desktop applications for various AI chat platforms.

Chikoh - Fantasy Sports & Entertainment Intelligence

AI fantasy sports & entertainment intelligence. 75 tools across 10 sports + TV/Awards.

ChronoLog

A High-Performance Storage Infrastructure for Activity and Log Workloads

Citedy SEO Agent

AI marketing: SEO articles, trend scouting, competitor analysis, social media, lead magnets

Claude Code Bridge from Essential AI Solutions (essentialai.uk)

MCP bridge for inter-session communication between Claude Code instances

Claude KVM

MCP server — control remote desktops via VNC with a native Swift daemon and Apple Vision OCR

Claude-C2

Utilizng an MCP Server to communicate with your C2

Claude-Deep-Research

An MCP (Model Context Protocol) server that enables comprehensive research capabilities for Claude

Claude-Patent-Creator

USPTO patent creation system with MCP server + Claude Code plugin. Hybrid RAG search over MPEP/USC/CFR, BigQuery access to 76M+ patents, automated 35 USC 112 compliance checks, prior art search, diagram generation. GPU-accelerated with skills and autonomous agents.

ClaudeMCPServer

MCP Server implementation for Claude

ClaudeR - RStudio MCP Server

Connect RStudio to AI assistants for interactive R coding and data analysis.

ClaudeSmalltalk

MCP server for AI interaction with live Smalltalk images

ClawPay MCP — Non-Custodial x402 Payments for AI Agents

Non-custodial x402 payments for AI agents. Sign locally, spend limits, Base network.

Cloaked Agent

Trustless spending accounts for AI agents on Solana with on-chain enforced limits.

CloudClaw

AI agent hosting platform: 37+ connectors, 181 tools, BYOK vault, marketplace.

CoWork-OS

Operating System for your personal AI Agents with Security-first approach. Multi-channel (WhatsApp, Telegram, Discord, Slack, iMessage), multi-provider (Claude, GPT, Gemini, Ollama), fully self-hosted.

CodeCompass

CodeCompass: AI-powered Vibe Coding with MCP. Connects Git repositories to AI assistants like Claude, using Ollama for privacy or OpenAI for cloud. Integrates with VSCode, Cursor, and more.

CodeRAG

Advanced graph-based code analysis for AI-assisted software development

Codeix

Fast semantic code search for AI agents — find symbols, references, and callers across any codebase

CogniLayer

Stop re-explaining your codebase to AI. Infinite speed memory + code graph for Claude Code & Codex CLI. 17 MCP tools, subagent protocol, hybrid search, TUI dashboard, crash recovery. Save 80-200K+ tokens/session.

Cognio

Persistent semantic memory server for MCP - Give your AI long-term memory that survives across conversations. Lightweight Python server with SQLite storage and semantic search.

Cognitive Warfare & PsyOps Analysis

Detect and analyze cognitive warfare campaigns, information operations, narrative manipulation, a...

ComIDP-MCP-Server

A lightweight MCP (Model Context Protocol) server designed for seamless integrating ComIDP with Claude Desktop.

ComOS Federation Gateway

Multi-tenant MCP gateway for AI commerce. One connection, every store.

ComOS Federation Gateway

Multi-tenant MCP gateway for AI commerce. One connection, every store on the network.

ComOS Portal — AI-Native SaaS Management

93 MCP tools for platform administration via AI agents. Billing, support, teams, and more.

CommandExecMcpServer

Model Context Protocol 対応の .NET9 ベース MCP サーバー。exec で任意のコマンドを実行し、stdout と stderr を区別して返す。 クロスプラットフォーム対応。

Common_Chronicle

Common Chronicle turns messy context into structured, sourced timelines.

Context-Engineering-for-Multi-Agent-Systems

Save thousands of lines of code by building universal, domain-agnostic Multi-Agent Systems (MAS) through high-level semantic orchestration. This repository provides a production-ready blueprint for the Agentic Era, allowing you to replace rigid, hard-coded workflows with a dynamic transparent Context Engine that provides 100% transparency.

Context-Transporter

MCP server for seamless context transfer between AI conversation threads. Built with FastMCP.

ContextLattice

Private-by-default, local-first memory/context/task orchestrator for MCP apps and agents.

ContextPods

Model Context Protocol management suite/factory. An MCP that can generate and manage other local MCPs in multiple languages. Uses the official SDKs for code gen.

CourseForge

AI-powered LMS course builder: 89 tools, 17 skills, SCORM/xAPI export, agentic UI

Cozmo-MCP

MCP server for DDL/Anki Cozmo robots using PyCozmo

CrabbitMQ

Async message queue for AI agents. Self-provision queues, push/poll messages, no signup.

Create-MCP

A modern CLI tool for generating production-ready Model Context Protocol (MCP) servers

Crewai-MCP-Course

This course teaches beginners how to use CrewAI with FastMCP server access through step-by-step programming examples.

Cronicorn

Manage adaptive cron jobs and HTTP endpoint scheduling via AI assistants.

CrossFin

AI agent access to Asian crypto markets. Korean exchange routing and x402 paid APIs.

CrowTerminal - External Brain for AI Agents

External Brain for AI Agents - persistent versioned memory for creators

Crypto-Price-AI-Agent

An AI agent that monitors real-time cryptocurrency prices with local LLMs (Llama 3.2) using Pydantic AI framework, and a FastMCP server to bridge the database with Claude Desktop

Cursor-history-MCP

API service to search vectorized Cursor IDE chat history using LanceDB and Ollama

CyberSecurity-MCPs

Model Context Protocol Server For Cyber Security

CyberShield-MCP

Servidor MCP para ciberseguridad en Windows. Expone herramientas defensivas como APIs HTTP listas para ser usadas por agentes IA, Claude Desktop o scripts personalizados. Fácil de integrar, extensible y listo para automatizar tu defensa digital.

Cypress-POM-Ready-To-Use

Cypress Page Object Model Framework 2026 | MCP | ChatMode | E2E | AI

DB_MCP_Server

DB_MCP_Server 是一个强大的数据库连接和操作服务，通过 MCP (Model Context Protocol) 协议为 AI 应用提供数据库访问能力。项目采用响应式编程模型（WebFlux），支持多种主流数据库，为 AI Agent 提供安全、高效的数据库操作接口。

DF-MCPE-Server

Learning DragonFly Development

DJ Claude

Agents can now live code music for you, themselves, and each other while they work.

DWScript-MCP

Sample MCP (Model Context Protocol) server for DWScript

Danube AI

Unified platform for AI tool discovery, execution, and integration across APIs and MCP servers.

DataBR — API de Dados Públicos Brasileiros

Brazilian public data API for AI agents. BCB, IBGE, CVM, B3, compliance. x402 payments on Base.

Dataiku MCP

MCP server for Dataiku DSS project, flow, and operations APIs.

Datawrapper

A Model Context Protocol (MCP) server for creating Datawrapper charts using AI assistants

DebtStack.ai

Corporate credit data API for AI agents — bonds, leverage, guarantors, SEC filings

Decompose

Decompose text into classified semantic units. Authority, risk, attention. No LLM.

DeepCo

A Chat Client for LLMs, written in Compose Multiplatform.

Deepseek-Thinking-Claude-3.5-Sonnet-CLINE-MCP

🧠 MCP server implementing RAT (Retrieval Augmented Thinking) - combines DeepSeek's reasoning with GPT-4/Claude/Mistral responses, maintaining conversation context between interactions.

Defenter Proxy

Real-time semantic security for AI coding agents and MCP tools

Defuddle Fetch

Fetch content from the web, cleaned up nicely for LLMs (using Defuddle).

Delphi-MCP-Server

Native Delphi Server implementation of the Model Context Protocol (MCP)

DentalDesk

DentalDesk: An open-source AI dental assistant and chatbot for dental practices. Built with Python and LangChain, it automates appointment scheduling and patient communication on WhatsApp.

DevDocs

Completely free, private, UI based Tech Documentation MCP server. Designed for coders and software developers in mind. Easily integrate into Cursor, Windsurf, Cline, Roo Code, Claude Desktop App

DevMcpServer

Model Context Protocol 対応の .NET9 ベース MCP サーバー。開発ツールを提供。クロスプラットフォーム対応。

Devmind-MCP

DevMind MCP provides **persistent memory capabilities** for AI assistants through the Model Context Protocol (MCP). It enables AI to remember context across conversations, automatically track development activities, and retrieve relevant information intelligently.

DexPaprika

Real-time DEX data, liquidity pools, token prices, and trading volumes across blockchain networks.

Dock AI

Discover MCP endpoints for real-world entities by resolving business domains.

DocsetMCP

Model Context Protocol server for Dash-style docsets

Docusign Navigator

Secure Docusign Navigator integration for AI assistants to access and analyze agreement data.

DollhouseMCP

OSS to create Personas, Skills, Templates, Agents, and Memories to customize your AI experience.

Domain Check

Check domain availability across 500+ TLDs. Single and bulk checks with UI.

DomainKits

Domain intelligence platform that turns your LLM into a professional domain consultant.

DotNetMcpServer

A Model Context Protocol server for dotnet commands using MCPSharp

DotNetMcpServer2

A Model Context Protocol server implementation for dotnet commands using the ModelContextProtocol NuGet package

DotNetMetadataMcpServer

A Model Context Protocol (MCP) server that provides detailed type information from .NET projects for AI coding agents.

Drag.ai-mcp-chatbbot

AI-MCP Orchestrator” — ChatGPT-style Agentic System integrating LangChain, LangGraph, FastMCP, and Google MCP SDK, with 10 MCP tools, toggleable UI, persistent memory, and reactive visuals.

DrillSpark MCP Server

Create and manage Mermaid.js flowcharts and diagrams with AI agents via MCP.

DrissionPage-MCP-Server

The Model Context Protocol (MCP) service based on DrissionPage provides AI assistants with powerful browser automation capabilities. | 基于 DrissionPage 的模型上下文协议 (MCP) 服务，为 AI 助手提供强大的浏览器自动化能力。

DrissionPageMCP

基于DrissionPage和FastMCP的浏览器自动化MCP服务器，提供丰富的浏览器操作API供AI调用

ESP32MCPServer

Allow AI models connect to ESP32 and read connected sensors and busses. AI generated MCP server.

EVE-Online-OSINT-MCP

Eigi.ai Voice Agents

Create and manage AI voice agents, real-time conversations, and analytics with eigi.ai

Elnora MCP Server

AI-powered bioprotocol optimization — generate, search, and manage lab protocols via MCP

Emby.MCP

Model Context Protocol (MCP) server that connects an Emby media server to an AI client such as Claude Desktop.

End-to-End-Agentic-Ai-Automation-Lab

This repository contains hands-on projects, code examples, and deployment workflows. Explore multi-agent systems, LangChain, LangGraph, AutoGen, CrewAI, RAG, MCP, automation with n8n, and scalable agent deployment using Docker, AWS, and BentoML.

Enzyme

Semantic search and AI context for your Obsidian vault. Surface patterns with catalysts.

Epitome

Personal AI memory — gives every AI agent shared, persistent memory of you

Ethereum-Trading-MCP-Server

Build a Model Context Protocol (MCP) server in Rust that enables AI agents to query balances and execute token swaps on Ethereum.

European-Parliament-MCP-Server

European Parliament MCP Server Model Context Protocol Server for European Parliament Open Data Providing AI assistants with structured access to parliamentary datasets

EventSight

AI-powered Windows Event Log analyzer that learns from your feedback. Uses Claude AI with RAG to detect suspicious activity, improve accuracy over time, and share learnings across your team. CLI and MCP server interfaces.

Example MCP Server

A reference MCP server built with @mctx-ai/mcp-server, showcasing the full range of framework capabi

Extend-AI-MCP-Server

EzBiz Business Intelligence

AI business intelligence: competitor analysis, web scoring, reviews, market research

EzBiz SEO & Marketing Analysis

AI-powered SEO and marketing: keyword research, SERP analysis, and content optimization tools.

FILE-CONVERTER-MCP

A Python-based MCP (Model Context Protocol) server powered by FastMCP that leverages Pandoc for flexible document conversion between various formats (Markdown, DOCX, PDF, HTML, etc.), designed for use with AI agents like Claude. Includes Docker configuration for easy deployment.

FINOPTIMA

AI trading agent: multi-pool AMM, 4 strategies, marketplace, copy trading. 35 tools.

Fabric Marketplace

Agent-native marketplace. Bootstrap, list inventory, search, negotiate, and trade via MCP.

Fabric-Analytics-MCP

A Model Context Protocol (MCP) server that enables AI assistants to securely access and analyze Microsoft Fabric Analytics data through authenticated API calls.

Factsets MCP Server

An MCP server that provides a local, persistent, self-maintaining knowledge base for AI agents

FastAPI-BitNet

Running Microsoft's BitNet inference framework via FastAPI, Uvicorn and Docker.

FastApply-MCP

Code Intelligence Platform with semantic search, AI-powered transformations, and enterprise security. FastApply MCP Server delivers comprehensive code analysis through local model execution and intelligent pattern recognition.

FastMCP

Choose Your Own Adventure AI generates personalized interactive stories based on user themes using OpenAI GPT. Users make choices through a React web interface or natural language commands via Gemini CLI. Features FastAPI backend with MCP integration for seamless AI-assistant storytelling interactions.

FastMCP-ToolSecurityTrimming

A quick sample on how to implement tool security trimming based on user's role assignment with entraID using FastMCP Middleware

FastMCPTraining

FastSkills

⚡ MCP server that brings Agent Skills (the open standard behind Claude Code, OpenClaw & nanobot) to any MCP-compatible agent. Discover, load, create & execute skills.

Fathom

A Rider Plugin for improving UE5 C++ development for your LLM agent of choice

Fathom MCP Server

Connect Claude to Fathom meeting recordings, transcripts, and summaries

FelixYifeiWang-felix-mcp-smithery

Streamline your workflow with Felix. Integrate it into your workspace and tailor its behavior to y…

Fetch URL MCP Server

Intelligent web content fetcher MCP server that converts HTML to clean, AI-readable Markdown

Fetter MCP

Real-time Python package and vulnerability data for AI coding agents.

Fiber AI

Search companies, enrich contacts, and reveal emails and phones from your AI agent.

Figma MCP Server

MCP server enabling AI assistants to interact with Figma designs via natural language commands

Figma MCP Server

The Figma MCP server brings Figma design context directly into your AI workflow.

File-Organizer-MCP

This MCP server will organize your files using connections to MCP using clients like Claude, Cursor and Gemini Cli

FileSystem MCP Server

Secure filesystem access for AI agents with configurable directory and file type restrictions

FinMCP

A unified Model Context Protocol (MCP) ecosystem for financial AI applications, providing deep research capabilities, trading integrations, and specialized AI model training for financial analysis.

Flaim Fantasy

Read-only fantasy analysis for ESPN, Yahoo, and Sleeper leagues via MCP

FlightFinderMCP

MCP server enabling Claude to search and compare flights across multiple providers with smart caching and parallel queries

Flik

Flik - Agentic Product Delivery Platform. Visit flik.nomadis.com for more information.

Flik

Flik - Agentic Product Delivery Platform. Visit flik.nomadis.com for more information.

FluxMcp

A Resonite mod that adds an MCP (Model Context Protocol) server to handle ProtoFlux for AI integration.

Flyto Core

Execution engine for AI agents. 412 modules: browser, file, Docker, data, crypto.

FocusRelayMCP

Talk to your OmniFocus tasks. An OmniFocus MCP server that lets AI assistants query your tasks, projects, and tags using natural language—no more clicking through endless lists.

Fodda Knowledge Graphs

Expert-curated knowledge graphs for AI agents — PSFK Retail, Beauty, Sports and more.

Fodda Knowledge Graphs

Expert-curated knowledge graphs for AI agents — PSFK Retail, Beauty, Sports and more.

Forage Shopping

AI shopping comparison — search 50M+ products, compare prices, find deals

Forex-GPT MCP Server

AI-powered forex and crypto trading analysis with real-time data across 127+ instruments.

ForgeCraft

Production engineering standards for AI coding assistants. Setup once, remove when done.

FortunaMCP

FortunaMCP is an advanced MCP server dedicated to generating high-quality random values for AI agents.

France-GPT

Ce projet est une collection d'Agents spécialisé grâce aux API's data.gouv transformé en outils MCP (Légifrance, Data.Inclusion, INSEE ...)

Frappe Dev MCP Server

MCP server for Frappe/ERPNext development with AI assistance for DocTypes, bench commands, and APIs

FtpMcpServer

FtpMcpServer lets any Model Context Protocol (MCP) client talk to plain FTP/FTPS servers through a lightweight, stateless proxy written in C#. It exposes safe, well-described MCP tools and a resource type that map directly to FTP operations using FluentFTP.

GH_mcp_server

This is a MCP Server that allows LLM to interact with Rhino and Grasshopper directly.

GTM MCP Server

Let AI manage your Google Tag Manager containers — tags, triggers, variables, and more.

GemForge-MCP

MCP server to empower your agent with enterprise-grade Gemini integration for codebase analysis, live search, text/PDF/image processing, and more on your favorite MCP clients.

Gemini-Vuln-Scanner

Vulnerability Scanning and Reconnaissance App with Gemini integrated workflow

Gemini-mcp

MCP server implementation for Google's Gemini API

GeminiMcpServer

Wraps Gemini 2.5 flash in an MCP server

GenAI-Everyday

A repository dedicated to exploring, experimenting with, and applying Generative AI concepts and tools in practical, everyday scenarios.

GenFilesMCP

GenFilesMCP: Minimal MCP Server for Open Web UI. Generates PPTX, XLSX, DOCX or MD files using user requests and full chat context. *Pull Requests are welcome 😁! Please make sure they are always submitted against the dev branch 🧐

GhostQA

AI personas navigate your web app in real browsers, find bugs and UX issues. No scripts needed.

GitHub-MCP

🧠🤖 MCP-compliant AI agent server in TypeScript 🚀 — Extend Claude & others with 🐙 GitHub Repos, Issues, Pull Requests & Actions superpowers! Ready-to-use executables available for macOS & Windows

Glean Remote MCP Server

Remote MCP Server that securely connects Glean Enterprise Knowledge with your IDE, LLM, or agents.

Gloria AI

Real-time curated crypto news for AI agents with sentiment, recaps, and search.

Godot-MCP-server-for-local-LLM

A sleek C# class library designed to integrate a local Model Context Protocol (MCP) server with a local Large Language Model (LLM), tailored for Godot-based games. This library empowers your LLM to seamlessly interact with the game world through structured tool commands, bringing your Echoes of Ir-style vision to life.

Google Analytics (unofficial)

Connect Google Analytics to ChatGPT. Query GA4 data in plain English and get instant insights.

Google Calendar

Allow AI systems to list, create, update, and manage Google Calendar events.

Google Docs

Allow AI systems to read and edit Google Docs.

Google Sheets

Allow AI systems to read, write, and query spreadsheet data via Google Sheets.

GooseTeam

Look, a flock of geese! An MCP server and protocol for Goose agent collaboration.

Gossiper Shopify Admin MCP Server

Control Shopify Admin tasks with agents or via prompt. Ultra slim integration, fast and secure.

GrantAi Memory

Persistent memory for AI agents. Infinite context with sub-millisecond recall.

Grapheteria

Grapheteria: A structured framework bringing uniformity to agent orchestration!

Guru Remote MCP Server

Guru MCP Server - Connect AI tools to your Guru knowledge base

HA_MCP

🏠🤖 HomeAssistant Add-on for Claude Desktop MCP integration. Control smart home devices, create automations, and manage your home with natural language through Claude.

HTML to Markdown MCP Server

Converts HTML to Markdown with auto-summary and section extraction. Supports Playwright.

HTML/CSS to Image

An MCP server for generating images from HTML & CSS or screenshots of URLs using htmlcsstoimage.com.

Hackernews-MCP-Typescript

HackerNews MCP Server - A comprehensive Model Context Protocol (MCP) server that provides seamless integration with the HackerNews API

Handler

A2A Protocol client and developer toolkit.

Haptic Paper

Connect your AI to human workers. Get paid to help AI.

Haze.McpServer.Echo

A Model Context Protocol(MCP) server for echo message

HeyLead — Autonomous LinkedIn SDR

Autonomous LinkedIn SDR — voice-matched outreach, ICP generation, and campaign management.

Hindsight MCP

MCP server for AI-assisted coding with development history: git, tests, Copilot.

HoneyMCP

A Deception Security Layer for MCP Servers. It injects "ghost tools" (fake security-sensitive tools) that act as honeypots.

Hugging Face

Connect to Hugging Face Hub and thousands of Gradio AI Applications

Human Pages

Search for and hire humans for real-world tasks via humanpages.ai

Human-In-the-Loop-MCP-Server

A powerful MCP Server that enables AI assistants like Claude to interact with humans through intuitive GUI dialogs. This server bridges the gap between automated AI processes and human decision-making by providing real-time user input tools, choices, confirmations, and feedback mechanisms.

HumanOps

MCP server for AI agents to dispatch real-world tasks to verified human operators

Humanizer PRO

Humanize AI text to bypass GPTZero, Turnitin, Originality.ai. Stealth, Academic, SEO modes.

Hybrid-CLI-Agent

Multi-agent CLI orchestrator combining Claude Code, Gemini CLI, and OpenRouter.

HydraMCP

Connect agents to agents. MCP server for querying any LLM through your existing subscriptions: compare, vote, and synthesize across GPT, Gemini, Claude, and local models from one terminal.

IBM Maximo

Connect AI assistants to IBM Maximo for API discovery, OSLC querying, and Carbon UI generation.

IDAssistMCP

Standalone MCP server plugin for IDA Pro.

IceCream.McpServer

A demo regarding an MCP server used to have your favourite AI use your services

ImRonAI-mcp-server-browserbase

Automate cloud browsers to navigate websites, interact with elements, and extract structured data.…

ImmoStage Virtual Staging

AI virtual staging for real estate — stage rooms, beautify floor plans, classify images.

In-Context — AI-Native Portfolio

An interactive portfolio built for AI conversations. Browse work, services, and book calls.

In-Memoria

Persistent Intelligence Infrastructure for AI Agents

Indicate

AI-powered intelligence for your development workflow via Indicate.

Inlay

Make any website discoverable by AI agents via MCP, llms.txt, and structured data.

Instability

A network diagnostic chatbot that also works offline. It has over 50 built-in tools to provide troubleshooting and analysis of local and remote networks. Chat interactively from the command line or integrate programmatically via its MCP server using standard input/output via VS Code's Copilot, Claude Desktop, or another MCP client.

IntelliConnect

本项目为xiaozhi-esp32提供后端服务 | A Powerful AI agent IoT platform core.

Intelligence Aeternum

AI training dataset marketplace: 2M+ museum artworks with Golden Codex enrichment

Intercept

Give your AI the ability to read the web. Fetches URLs as clean markdown with multi-tier fallback.

InventorySystem_MCP_Server

A Python-based MCP Server for an Inventory Management System.

Investigation Game App

Find out who killed Claude by interrogating the LLM driven suspects...

IoT-Edge-MCP-Server

MCP server for Industrial IoT, SCADA and PLC systems. Unifies MQTT sensors, Modbus devices and industrial equipment into a single AI-orchestrable API. Features real-time monitoring, alarms, time-series storage and actuator control.

JMX-MCP

A powerful Model Context Protocol (MCP) server that enables AI assistants like Claude Desktop to monitor and manage Java applications through JMX. Provides real-time MBean discovery, attribute management, and natural language JMX operations.

Java-MCP-Server-For-SMTP-Mailing

A Model Context Protocol (MCP) server (using java sdk 0.11.0) that provides email sending capabilities through SMTP integration. This server acts as a bridge between MCP-compatible AI assistants (like Claude Desktop) and email services.

Jinko MCP

Turn your ChatGPT to a super travel agent

Jira_mcp_streamlit

A Streamlit-powered Jira assistant with MCP integration. Create, search, and manage Jira tickets through a clean tabbed interface using natural language commands or direct forms. Built with Python and MCP framework.

JotDown

An MCP Server in Rust for creating Notion pages & mdBooks with LLMs 🦀

Junction-2025

End-to-end platform for optimizing HSY Blominmäki wastewater pumping using multi-agent forecasts, a FastAPI orchestration backend, a React operator dashboard, and supporting digital-twin tooling.

JustCall MCP Server

JustCall MCP Server enables LLMs and AI agents to make voice calls and send SMS via JustCall APIs.

KIP

Knowledge Graphs to enable memory persistence, knowledge evolution, explainable interaction.

Kael MCP Server

16 AI-native tools with dual SSE + streamable-http transport. Free tier available.

Kai AGI - Autonomous AI Agent

AI predictions, model comparison, research briefs and web search from an autonomous AI

Kai AGI - Autonomous AI Agent

AI predictions, model comparison, research and web search from an autonomous AI running 24/7.

Kaimon.jl

MCP server giving AI agents full access to Julia's runtime via a live Gate — code execution, introspection, debugging, testing, and semantic search

Kaito Query Service

AI LLM with Gemini, MiniMax, Replicate, OpenRouter. Vision, search, code review. USDC on Base.

Kali_Linux_MCP

Two-component system bridging Kali Linux penetration testing tools with AI agents via MCP. Flask API server executes 10+ security tools (Nmap, SQLMap, Metasploit, etc.) while MCP client provides seamless AI integration for automated security workflows.

Katalon TestOps MCP

Katalon TestOps Model Context Protocol (MCP) server

KiCAD-MCP-Server

KiCAD MCP is a Model Context Protocol (MCP) implementation that enables Large Language Models (LLMs) like Claude to directly interact with KiCAD for printed circuit board design.

Kiln

AI agent control of 3D printers — 343 tools for OctoPrint, Moonraker, Bambu, Prusa, Elegoo

Kindex

Persistent knowledge graph for AI workflows with context tiers and .kin inheritance.

Klacks.MCP.Server

Model Context Protocol (MCP) server for Klacks Planning System

Konstruct

Knowledge graph for AI agents. Query concepts, walk edges, get advisories.

Koppla

A Model-Context-Protocol (MCP) Server for Active Directory

Kryptoskatt-mcp-server

Enable AI assistants to interact seamlessly with the DefiLlama API by translating MCP tool calls i…

Kubit

Bring Kubit into your AI workflow — query your warehouse with natural language

Kuro AI Agent MCP Server

AI agent tools: translation (95+ langs), crypto research, compliance, summarization.

LLM Optimizer

AI brand visibility analytics: visibility scores, optimizations, video, Reddit, and search rankings.

LLM_MCP_TOOLS

基于FastMCP 2.0的智能工具调度系统

LLaMa-MCP-Streamlit

AI assistant built with Streamlit, NVIDIA NIM (LLaMa 3.3:70B) / Ollama, and Model Control Protocol (MCP).

LMStudio-MCP

A Model Control Protocol (MCP) server that allows Claude to communicate with locally running LLM models via LM Studio.

LSP4J-MCP

A Java MCP (Model Context Protocol) server that wraps JDTLS (Eclipse JDT Language Server) using LSP4J to provide Java IDE features to AI assistants like Claude.

Lassare

Human-in-the-loop for AI coding agents — ask questions, get approvals via Slack.

LastBlueTape

Construction punch list management for AI agents. Create lists, add items, track progress.

Learning Model Context Protocol

MCP server that can perform basic arithmetic operations and parse/evaluate arithmetic expressions.

LemonLDAP::NG MCP Server

Manage LemonLDAP::NG SSO instances: configuration, sessions, OIDC, SAML, 2FA.

Lenny's Podcast Transcripts

Search 286 episodes of product management wisdom from top leaders at Figma, Airbnb, Linear.

Letta-MCP-server

MCP server to manage letta server and comunicate with agents

Lex

Episodic memory and architectural policy for AI agents. Frames, Atlas, and Policy.

Librechat-Advanced

Chat with top llms(free) , built in websearch , code-interpreter data analysis tools , powered by the model context protocol.

LimitGuard Trust Intelligence

Entity verification, sanctions screening, and trust scoring for AI agents.

LinkedIn-Posts-Hunter-MCP-Server

LinkedIn Posts Hunter MCP is a Model Context Protocol (MCP) server that provides tools for automating LinkedIn job post search and management through your AI assistant (Claude Desktop, Cursor, or other MCP-compatible clients).

LiteLLM Multi-Model API

Access 100+ LLMs with one API: GPT-4, Claude, Gemini, Mistral, and more.

Lite_MCP_sdk

a light weight version of mcp sdk inspired by official model context protocol sdk, NOW focus on sse only no stdio

Log-Analyzer-with-MCP

A Model Context Protocol (MCP) server that provides AI assistants access to AWS CloudWatch Logs for analysis, searching, and correlation

Lunch-MCP-Server

A lightweight Model Context Protocol (MCP) Server built with .NET that provides restaurant‑related data and utilities for use in Copilot Studio and other MCP‑compatible agents.

M365 Roadmap

Query the Microsoft 365 Roadmap from AI agents

MCP Advisor

Browse, search, and discover MCP servers from your AI assistant

MCP Bench Router

Routes design tasks to designarena.ai's top-ranked model via OpenRouter across 14 categories.

MCP Doctor

Check and improve the contract quality of any MCP server — for humans, agents, and platforms.

MCP FreeScout

FreeScout ticket management with AI-powered analysis, search filters, and structured outputs.

MCP Gemini

MCP server for Google Gemini AI - text, image, video, research, and more

MCP Greeting Server

MCP server providing personalized greetings with AI-powered tools using Spring Boot and Spring AI

MCP KQL Server

Execute KQL in AI prompts via NL2KQL with schema discovery and Azure Data Explorer integration

MCP Server for Binge-watch

MCP Server for Binge-watch / MoonTV / LunaTV. 一个用于追剧/追番的MCP服务器，为AI提供搜索影视播放地址的能力，并支持在小米等安卓电视/投影仪上直接播放

MCP Server for Excel

Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.

MCP-BOS

MCP-BOS: 模块化、可扩展的Model Context Protocol服务器框架 使用基于约定的自动模块发现机制，为Claude Desktop打造的灵活MCP服务器框架。通过简洁的模块接口和声明式配置，轻松扩展AI应用功能，无需修改核心代码。支持FastMCP标准，包含完整工具、资源和提示模板注册能力。

MCP-Beverage-Server

MCP-ChatBot

Simple MCP Client-Server example

MCP-Client-Server-for-agents

This project demonstrates a Model Context Protocol (MCP) server and client implementation in .NET

MCP-Context-Provider

A static MCP server that provides AI models with persistent tool context, preventing context loss between chats.

MCP-Dandan

MCP Security Solution for Agentic AI — real-time proxying, behavior analysis, and malicious tool detection

MCP-Doc

A powerful Word document processing service based on FastMCP, enabling AI assistants to create, edit, and manage docx files with full formatting support. Preserves original styles when editing content. 基于FastMCP的强大Word文档处理服务，使AI助手能够创建、编辑和管理docx文件，支持完整的格式设置功能。在编辑内容时能够保留原始样式和格式，实现精确的文档操作。

MCP-Ghidra5

🎯 Advanced GPT-5 Powered Ghidra Reverse Engineering MCP Server | 7 AI-Enhanced Analysis Tools | Professional Binary Analysis | TechSquad Inc. Proprietary Software

MCP-Manager-GUI

MCP Toggle is a simple GUI tool to help you manage MCP servers across clients seamlessly.

MCP-Mathematics

A comprehensive Model Context Protocol (MCP) server that turns any AI assistant into a powerful mathematical computation engine.

MCP-MultiServer-Interoperable-Agent2Agent-LangGraph-AI-System

This project demonstrates a decoupled real-time agent architecture that connects LangGraph agents to remote tools served by custom MCP (Modular Command Protocol) servers. The architecture enables a flexible and scalable multi-agent system where each tool can be hosted independently (via SSE or STDIO), offering modularity and cloud-deployable execut

MCP-Nest

A NestJS module to effortlessly create Model Context Protocol (MCP) servers for exposing AI tools, resources, and prompts.

MCP-Next.js

A Next.js project with MCP using mcp-handler and @modelcontextprotocol/sdk to test multiple tools in real-time

MCP-OpenStack-Ops

Professional OpenStack operations automation via MCP server. Specialized tools for cluster monitoring, instance management, volume control & network analysis. FastMCP + OpenStack SDK + Bearer auth. Claude Desktop ready. Perfect for DevOps & cloud automation.

MCP-Order-Server

MCP Server basé sur Spring Boot + Spring AI + Ollama (local) utilisant une base de données (JPA + H2 pour l’exemple).

MCP-PST-Server

渗透工具MCP Server，旨在让AI-Agent或AI客户端能够无缝地调用 Windows 环境中的各种渗透测试工具。A lightweight MCP server tool designed to let AI agents or clients seamlessly invoke various penetration testing tools in a Windows environment.

MCP-Penetration-testing

The ultimate OWASP MCP Top 10 security checklist and pentesting framework for Model Context Protocol (MCP), AI agents, and LLM-powered systems.

MCP-Plugin-dotnet

.NET MCP bridge: expose app methods/data as MCP tools, prompts, and resources via an in-app plugin + lightweight server (SignalR; stdio/http).

MCP-SERVER

This repository contains Model Context Protocol (MCP) server implementations that demonstrate how to create and integrate custom tools and data sources with AI applications. MCP is an open-source standard that enables AI applications like Claude or ChatGPT to connect to external systems, data sources, and tools in a standardized way.

MCP-Scanner

Advanced Shodan-based scanner for discovering, verifying, and enumerating Model Context Protocol (MCP) servers and AI infrastructure tools over HTTP & SSE.

MCP-Server

Local Model Context Protocol Server

MCP-Server

Weather MCP server

MCP-Server-ArcGIS-Pro-AddIn

MCP Server with ArcGIS Pro Add-In

MCP-Server-Authenticated

Example of Spring AI MCP Server with Okta Auth0

MCP-Server-Excel-VBA-Macro-Converter-Python-2

A Model Context Protocol (MCP) server built with FastMCP that converts Excel files containing VBA macros into equivalent Python code.

MCP-Server-Latest_Doc-

A lightweight Model Context Protocol (MCP) server that exposes a documentation‐search tool for integrating live library docs (LangChain, LlamaIndex, OpenAI) into any AI agent. This repo provides: An MCP‐compliant server based on `fastmcp` for registering custom tools over stdio.

MCP-Server-Spring-AI

MCP-Server-Starter

A Model Context Protocol server starter template

MCP-Server-build-using-Spring-AI-and-Java

Constructed the Model Context Protocol (MCP) Server using Spring Boot, Spring AI, Spring Data JPA and Java.

MCP-Server-for-Hashing

A Model Context Protocol (MCP) server for calculating MD5 and SHA-256 hashes, complete with tools and guides for understanding and building MCP servers. Works with Claude Desktop & VSCode.

MCP-Server_AI-interaction

MCP-Servers

A Model Context Protocol (MCP) server that provides AI assistants with access to Microsoft OneNote. This server enables AI models to read from and write to OneNote notebooks, sections, and pages.

MCP-SqlServer

A MCP Server implementation in C# for LLM integration with SQL Server tested with Claude Desktop

MCP-Stack-for-UI-UX-Designers

An end-to-end Model Context Protocol (MCP) solution that streamlines the entire UI/UX design workflow - from gathering inspiration to development handoff. This suite integrates multiple specialized MCP servers to automate and enhance the design process through AI assistance.

MCP-Swarm

Universal AI Agent Coordination Platform — 54 smart tools for multi-agent teamwork

MCP-Zmap

A FastMCP wrapper for ZMap, enabling subnet and port scans through natural language prompts in Claude Desktop using Model Context Protocol (MCP).

MCP-actions-adapter

A simple adapter to convert a MCP server to a GPT actions compatible API

MCP-connect

Enables cloud-based AI services to access local Stdio based MCP servers via HTTP requests

MCP-ollama_server

Extends Model Context Protocol (MCP) to local LLMs via Ollama, enabling Claude-like tool use (files, web, email, GitHub, AI images) while keeping data private. Modular Python servers for on-prem AI. #LocalAI #MCP #Ollama

MCP-searxng

MCP server for connecting agentic systems to search systems via searXNG

MCP-server

A Spring Boot based MCP server integrated with Claude Desktop

MCP-server

AI related work would be done here

MCP-server-Deepseek_R1

A Model Context Protocol (MCP) server implementation connecting Claude Desktop with DeepSeek's language models (R1/V3)

MCP-server-built-in-Rust-to-interact-with-the-Ethereum-blockchain

MCP-server-client-computer-use-ai-sdk

🖥️ Control your computer effortlessly with our AI SDK, enabling seamless interaction with apps and websites without virtual machines or pixel-based issues.

MCP-server-for-Claude

MCP-server-with-langchain-client

LangChain + LangGraph client using tools from a MCP server

MCP-studies

MCP is an open protocol that standardizes how applications provide context to large language models (LLMs)

MCP-test

fastMCP test with Claude

MCP-timeserver

A simple MCP server that exposes datetime information to agentic systems and chat REPLs

MCPChain

MCPChain brings the Model Context Protocol to Web3 by anchoring agent tools, trust registries, and attestable executions on-chain.

MCPControl

MCP server for Windows OS automation

MCPDebugger

A lightweight MCP debugger designed for learning and experimentation. Supports Windows executables (x86 and x64).

MCPGateway

Open-source MCP server — progressive tool discovery, code execution, intelligent routing & token optimization across 50+ tools

MCPGex

MCP server for finding, testing and refining regex patterns

MCPHammer

MCP security testing framework for evaluating Model Context Protocol server vulnerabilities

MCPHelperSublimePlugin

Sublime Text Plugin which connects to a local Model Context Protocol (MCP) server for AI-powered code generation, review, refactoring, and translation using OpenAI or Gemini.

MCPHub-Desktop

Desktop APP for Discover and Install MCP Servers

MCPLuceneServer

MCP Lucene Server is a Model Context Protocol (MCP) server that exposes Apache Lucene's full-text search capabilities through a conversational interface. It allows AI assistants (like Claude) to help users search, index, and manage document collections without requiring technical knowledge of Lucene or search engines.

MCPR

MCPR enables AI agents to participate in interactive R sessions for professional analysis workflows.

MCPRepository

Open Source Repository for ModelContextProtocol MCP server

MCPSecBench

MCPSecBench: A Systematic Security Benchmark and Playground for Testing Model Context Protocols

MCPServers

MCP Servers for BlockChain, Cyber Security and AI Automation A cutting-edge Model Context Protocol (MCP) server infrastructure designed to power the next generation of decentralized applications with integrated AI automation and enterprise-grade security.

MCP_AI_SOC_Sher

AI SOC Security Threat analysis using MCP Server

MCP_Chat_Logger

📝 A FastMCP tool that automatically saves AI chat conversations to well-formatted Markdown files with timestamps and metadata.

MCP_Integration_Package-NPM

A lightweight, production-ready Model Context Protocol (MCP) server for exposing Node.js functions to Claude Desktop and other AI agents via JSON-RPC 2.0 over STDIO.

MCP_SERVER_CLIENT

Project based on Mcp Server and Client communication through LLM model

MCP_SERVER_WITH_PLAYWRIGHT_AND_CLAUDE

An MCP server built in C# that exposes QA automation tools (like browser login) to AI clients. It uses Playwright for browser automation and ExtentReports for HTML reporting with screenshots, allowing AI agent (Claude) to run and inspect real end-to-end tests.

MCP_Server

A Simple Implementation of the Model Context Protocol

MCP_Test

MCP created for Chatbots to test and give output for ongoing cryptocurrencies prices. Tech used - Node.js - Axios (Web requests) - Cheerio (DOM scraping) - zod (for validation) - @modelcontextprotocol/sdk (^1.7.0)

MCP_tts_server

MCP Server wrapper for TTS engines (Kokoro TTS and OpenAI TTS)

MCPtrace

MCP server: using eBPF to tracing your kernel

MCPulse

JMeter Sampler plugin to load-test MCP stdio servers (Model Context Protocol).

MODULAR-RAG-MCP-SERVER

A modular RAG (Retrieval-Augmented Generation) system with MCP Server architecture. Using Skill to make AI follow each step of the spec and complete the code 100% by AI.

Machine Hearts

Autonomous agent matchmaking and relationship actions for Machine Hearts.

Machins Marketplace

Agent-to-agent marketplace with escrow-protected trades via MCP tools.

Mailchimp

MCP server for Mailchimp API integration

MakeMoneyWithAI

A list of open-source AI projects you can use to generate income easily.

MakerAi

The AI Operating System for Delphi. 100% native framework with RAG 2.0 for knowledge retrieval, autonomous agents with semantic memory, visual workflow orchestration, and universal LLM connector. Supports OpenAI, Claude, Gemini, Ollama, and more. Enterprise-grade AI for Delphi 10.3+

MalwareBazaar_MCP

An AI-driven MCP server that autonomously interfaces with Malware Bazaar, delivering real-time threat intel and sample metadata for authorized cybersecurity research workflows.

Manger-leave-system-lpmr

A simple yet powerful leave management system built with FastMCP (Model Context Protocol). This system allows organizations to manage employee leave requests, approvals, and balances through an AI-powered interface.

MarkView

Native macOS Markdown preview. MCP: preview_markdown, open_file. GFM, Mermaid, syntax highlighting.

MassGen

🚀 MassGen is an open-source multi-agent scaling system that runs in your terminal, autonomously orchestrating frontier models and agents to collaborate, reason, and produce high-quality results. | Join us on Discord: discord.massgen.ai

MathAgent

This repository contains an MCP (Model Context Protocol) server for mathematical calculations.

MatlabMCP

MCP server to run MATLAB code from LLM via the Matlab Engine API.

Matryoshka

MCP server for token-efficient large document analysis via the use of REPL state

MaxMSP-MCP-Server

MCP (Model Context Protocol) Server for Max (Max/MSP/Jitter)

Maximum Sats

Bitcoin AI + Nostr WoT scoring (12 tools). L402 pay-per-call. 50 free WoT/day.

MayaMCP

Model Context Protocol (MCP) server implementation for Autodesk Maya

McpManager

Manage your MCP Servers for all your agents in one place!

McpServer

A Model Context Protocol (MCP) server for supermarket inventory and sales management. Provides AI assistants with real-time access to product data, sales analytics, inventory tracking, and business intelligence tools through standardized MCP protocol integration.

McpServer

McpServer.DotNet.Demo

Demo MCP Server and how to connect to Claude Desktop

McpServerForDbgX

This is a personal prototype repository for the Model Context Protocol (MCP) server to enable AI agents to use the WinDbgX debugging engine.

McpServerManager

Avalonia desktop app for tracking and inspecting request/session logs with AI assistant

McpServerSample

McpServerSample: Java开发的mcpservr示例项目. 是一个基于 Spring Boot 和 Spring AI 的 Model Context Protocol (MCP) 服务器示例项目。 该项目主要提供天气服务功能，通过集成官方天气 API (weather.gov) 实现了以下核心功能.

McpServers

An assortment of MCP servers to empower AI work in your projects

Measure.events Analytics

Privacy-first web analytics. Query pageviews, referrers, trends, and AI insights.

Meet.bot MCP

AI-native scheduling and booking: check availability, book meetings, share links.

MegaMemory

Persistent project knowledge graph for coding agents. MCP server with semantic search, in-process embeddings, and web explorer.

MeiGen-AI-Design-MCP

MeiGen-AI-Design-MCP — Turn Claude Code / OpenClaw into your local Lovart. Local ComfyUI, 1,400+ prompt library, multi-direction parallel generation.

Memento

Persistent memory for AI tools. Local-first knowledge graph with hybrid search.

MemorizedMCP

MemorizedMCP delivers a high‑performance, local‑first MCP Server in Rust that equips AI agents with an advanced hybrid memory system. It combines a knowledge graph, vector embeddings, and full‑text search with a novel documentary memory capability, enabling accurate recall of exact documents alongside rich semantic relationships.