Awesome MCP Servers

Put performance and error data directly in the hands of your AI assistant.

Access financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more

Access the Model Context Protocol specification through prompts and resources.

An intelligent agent framework based on MCP, supporting multiple large language models and tool integrations for testing single-agent effectiveness.

A comprehensive crash course on the Model Context Protocol (MCP), covering everything from basic concepts to building production-ready MCP servers and clients in Python.

A comprehensive MCP development environment with interactive visualizations, multiple client interfaces, and advanced agentic capabilities.

An agentic communication framework for multi-agent collaboration using MCP.

a complete and intuitive SDK for building MCP Servers, MCP Agents, and LLM integrations (OpenAI, Claude, Gemini) with minimal effort. It abstracts all the complexity of the MCP protocol, provides an intelligent agent with automatic model routing, and includes a universal client for external APIs all through a single, simple, and powerful interface. Perfect for chatbots, enterprise automation, internal system integrations, and rapid development of MCP-based ecosystems.

A state-based agent orchestration system using the Model Context Protocol (MCP).

Fetches requirements and defect data from the TAPD platform to provide data support for AI clients.

Step-by-step observability for MCP agent workflows — trace, inspect, and debug multi-step agent executions

A universal aggregator that combines multiple MCP servers into a single endpoint.

An MCP (Model Context Protocol) aggregator that allows you to combine multiple MCP servers into a single endpoint allowing to filter specific tools.

A server that bridges Cline to an AI agent system, enabling seamless interaction with AI agents through the Model Context Protocol.

simple mcp server for Airflow 3 (API version 2)

Visual Studio extension with 20 Roslyn-powered MCP tools for AI assistants. Semantic code navigation, symbol search, inheritance, call graphs, safe rename, build/test.

A collection of reference implementations for the Model Context Protocol (MCP), showcasing servers built with TypeScript and Python SDKs.

Reads Allure test reports and returns them in LLM-friendly formats for better test analysis and insights.

A remote MCP server with GitHub OAuth authentication and built-in analytics tracking.

Automate Android devices using the uiautomator2 library, requiring adb and a connected device.

A server that bridges Google Sheets, Azure AI, and MQTT APIs.

An MCP server for the Arduino CLI, offering tools to manage sketches, boards, libraries, and files.

A server for storing and retrieving personalized coding patterns from a local JSONL file.

Analyzes audio files and extracts metadata, tailored for game audio development workflows.

Backpressure and concurrency control middleware for FastMCP. Prevents server overload from LLM tool-call storms with configurable limits and JSON-RPC errors.

A base template for creating new MCP servers, designed for easy containerized deployment with Docker.

Claude Code sucks at design. Let it delegate it's tasks to better models. Claude will use the MCP to get leaderboard of best design models and query specific code changes using OpenRouter.

An MCP server with CoConuT (Continuous Chain of Thought) for use with the Cursor IDE, distributed as a global NPM package.

A proxy server that enables existing REST APIs to be used as Model Context Protocol (MCP) servers.

A lightweight, LLM-agnostic RESTful proxy that unifies multiple MCP servers under a single API.

A lightweight, LLM-agnostic RESTful proxy that unifies multiple MCP servers under a single API.

MCP server that enables AI assistants to build, test, and debug Zotero plugins via 26 tools for UI inspection, JS execution, logging, and more.