Packages

MCP server that provides programmatic access to Oracle Cloud Infrastructure Threat Intelligence services, enabling agents to query threat data, indicators of compromise, and security intelligence from OCI's threat intelligence platform.

A read-only Python MCP server that exposes TA-Lib functionality via MCP tools for listing available indicators/categories, fetching indicator metadata, computing indicator values from numeric OHLCV-like inputs, and reporting version information. If TA-Lib is not installed, it still starts and returns actionable errors for TA-Lib-related tools.

yt-mcp-server is a Python MCP server that exposes YouTube-related tools: searching for videos, fetching video and channel metadata, retrieving transcripts (with timestamps), searching within a single transcript, and searching across all videos of a channel for passages matching a query. It can run as a zero-config MCP server (e.g., via uvx) and also supports running a standalone HTTP server using a specified transport.

A Python SDK for building MCP servers with progressive tool disclosure. Instead of exposing all tools at once, it organizes them into workflow stages and reveals only contextually relevant tools at each step. Supports semantic search mode that collapses 100+ tools into two meta-tools (search_tools and call_tool).

Adobe Marketo Engage REST API for B2B marketing automation, lead management, email campaigns, scoring, and integration with CRM systems.

MCPO is a proxy that converts MCP servers into OpenAPI-compatible HTTP endpoints, allowing standard REST clients and LLM agents expecting OpenAPI interfaces to consume MCP tools without protocol-specific integration.

agency-orchestrator is a TypeScript multi-agent orchestration engine that runs YAML-defined DAG workflows using prebuilt role prompts (186 roles). It can execute steps in parallel based on dependencies, pass outputs between steps via variables, and supports execution via multiple LLM providers/CLIs (including subscription-based “no API key” flows) as well as an MCP server mode for tool-calling from AI coding clients.

Provides an MCP server (stdio) and a CLI that let AI assistants or a terminal browse, replay, and analyze HTTP traffic through a local Caido proxy. Includes tools for proxy history queries, replaying requests, inspecting automate/fuzzing sessions, creating/listing security findings, and managing scopes/projects/workflows/intercept status.

codebase-context is a local-first MCP server/CLI that helps AI agents understand a codebase by performing hybrid search over indexed code, detecting team coding patterns/conventions (including golden files and trend signals), persisting “team memory” extracted from git commits/recorded decisions, and performing edit preflight checks with a decision card to indicate readiness/coverage gaps before code changes.

data-verify-mcp is an MCP server that exposes tools for China-focused data verification and risk-related checks, including identity (ID/phone/bank card), face comparison, enterprise工商 lookup and risk queries, vehicle info and vehicle risk scoring, OCR recognition for multiple document types, and personal综合风险评估.

A Python framework for building production-ready MCP servers with minimal boilerplate. Provides automatic tool/prompt/resource discovery from directory structure, enterprise-grade auth (JWT, OAuth 2.0, API keys), OpenTelemetry tracing, built-in LLM utilities, and a CLI for project scaffolding and development.

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.

KiCAD-MCP-Server is an MCP (Model Context Protocol) server implemented in Python that lets AI assistants control KiCad for PCB design automation. It exposes a large set of MCP tools for schematic creation/wiring, PCB/board operations, routing, exports, and project state resources, with dynamic discovery and schema validation.

Provides an MCP server (stdio-based) and CLI to extract YouTube video metadata/transcripts, generate token-optimized summaries, perform topic segmentation and entity extraction, analyze comments with sentiment, and support channel monitoring, playlist analysis, search, and batch operations. Optional LLM providers (local via Ollama/vLLM/LM Studio, or cloud via OpenAI/Anthropic/Google) power the summarization/enrichment steps with a fallback to extractive summarization.

Provides a Model Context Protocol (MCP) server embedded in Agisoft Metashape Professional (2.3+) to expose the full photogrammetry workflow—alignment, dense cloud, mesh, texture, DEM, orthomosaic, export, and network processing—as AI-callable MCP tools. Includes an optional stdio proxy for long-running operations and a local HTTP transport endpoint.

MCP server that provides Kubernetes cluster management and introspection capabilities, allowing AI systems to query cluster state, manage resources, and execute operations against Kubernetes APIs

Qdrant Loader is a Python toolkit for ingesting content from multiple sources, converting and chunking documents, generating embeddings with configurable LLM providers, and loading the resulting vectors into a Qdrant vector database. It also provides an MCP server (stdio and HTTP/transport) to enable AI development tools to perform semantic and hierarchy-aware search over the indexed content.

Intuit's QuickBooks Online REST API for managing accounts, invoices, customers, vendors, expenses, and financial reports for small businesses. The dominant small business accounting API in North America.

Reddit's REST API for reading posts, comments, and subreddit data, and for automating Reddit interactions like posting, voting, and moderation.

WebClaw is a WebMCP-native browser automation agent implemented as a Chrome extension plus an MCP server (invoked via stdio). It controls a real, user-logged-in Chrome instance to navigate pages, take accessibility-tree snapshots, and interact with elements via stable @ref labels. It can also bridge to WebMCP tools declared by pages.