Packages

GIMP MCP server enabling AI agents to control GIMP (GNU Image Manipulation Program) — applying filters and effects, editing image layers, performing color corrections, resizing and cropping images, running Script-Fu automation, and integrating AI-driven image processing into creative and production workflows. Requires GIMP running locally.

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.

MCP server using Google Gemini AI for analyzing images and videos with fast, reliable visual insights. Enables AI agents to leverage Gemini's multimodal capabilities to analyze images and video content — describing scenes, extracting text, identifying objects, and providing visual insights from media content.

Official MCP server from Generect (generect org) for their B2B lead generation API. Enables AI agents to search companies, find leads, and access company data for sales prospecting through Generect's live business database. Designed for sales automation and outreach agents needing real-time B2B company intelligence.

Google Cloud's Python client libraries covering 100+ GCP services including Cloud Storage, BigQuery, Pub/Sub, Firestore, Vertex AI, Cloud Run, and more. Each service has its own installable package. Agents use these libraries to interact with GCP infrastructure natively from Python.

Google's file storage and synchronization API for creating, reading, organizing, and sharing files and Google Workspace documents (Docs, Sheets, Slides) programmatically.

MCP server that connects AI assistants to Jupyter notebook environments for real-time notebook management. Provides tools to create, read, execute, and modify notebook cells, manage kernels, browse the Jupyter filesystem, and handle multimodal outputs including images and plots.

Official MCP server from Ludo AI (Ludo-AI org) for AI-powered game asset generation. Enables AI agents to generate game sprites, 3D models, animations, sound effects, music, and voice content through Ludo's game asset generation API — integrating AI-generated game content into development workflows.

MCP server enabling Claude and other LLMs to securely access MySQL databases. Features SQL injection prevention via prepared statements, query whitelisting/blacklisting, rate limiting, read-only mode by default, SSL/TLS support, connection pooling, multi-database mode, and granular write operation controls (INSERT/UPDATE/DELETE/DDL each independently toggleable).

Microsoft Teams MCP server enabling AI agents to interact with Microsoft Teams — reading and sending messages in channels and chats, listing teams and channels, managing team members, posting notifications, and integrating Teams communication capabilities into agent-driven enterprise communication, notification, and workflow automation.

MCP server providing PTY (pseudo-terminal) execution capabilities to AI agents. Enables agents to run interactive terminal commands via PTY — supporting programs that require a TTY, handling interactive prompts, and managing long-running terminal sessions. Written in Haskell.

Official MCP server from Partstable (partstable org) for IT hardware parts research. Enables AI agents to normalize part numbers, search hardware component listings, find substitutes and compatible alternatives, and compare IT hardware inventory data — streamlining hardware procurement and compatibility research workflows.

MCP server providing subscription pricing data for 50+ software services — enabling AI agents to look up and compare pricing plans across major SaaS and subscription products. Supports competitive pricing research, budget planning, and market intelligence workflows.

Official MCP server from TakoData (TakoData org) for Tako — a data visualization and querying platform. Enables AI agents to query real-time data and generate charts, graphs, and visualizations by integrating Tako's data engine. Agents can generate on-demand data visualizations without coding chart libraries directly.

The most popular Go testing toolkit. Provides assertion helpers (assert package), mock generation (mock package), and test suite support (suite package). assert.Equal(t, expected, actual) gives readable failure messages instead of Go's default verbose if expected != actual pattern. mock.Mock enables interface mocking without code generation. The de-facto standard testing addition for Go.

Utility library and MCP server by Google Apps Script expert tanaikech providing tools to integrate Google Workspace services (Sheets, Docs, Drive, Gmail) with MCP-based AI agents. Enables GAS-powered MCP servers to expose Google Workspace data to agents through standardized tool interfaces.

Ruby library for stubbing HTTP requests in tests — intercepts Net::HTTP, HTTParty, Faraday, RestClient, and other HTTP adapters to prevent real network calls and return controlled responses. WebMock: disables real HTTP connections by default in tests, stubs specific URLs with custom responses (stub_request(:post, 'https://api.openai.com/v1/chat/completions').to_return(body: '...')), verifies requests were made (have_requested(:get, /agent-api/)), and supports request body/header matching. Essential for testing agent services that call external APIs without making real API calls in unit/integration tests.

MCP server connecting to Garmin Connect to expose 96+ fitness and health data tools across activities, wellness, training, workouts, devices, gear, weight, challenges, nutrition, and user profile, covering 89% of the underlying python-garminconnect library.

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.

The primary Python SDK for Amazon Web Services, providing a unified interface to 200+ AWS services including S3, EC2, Lambda, DynamoDB, SQS, and more. Agents use it to orchestrate cloud resources, read/write data, trigger serverless functions, and automate infrastructure.