Awesome MCP Servers

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

Integrates 3D Slicer with model clients via MCP, allowing natural language control for medical image processing and scene manipulation.

Sync MCP server configurations across various AI coding tools.

A Think Tool for LLMs to record and retrieve their thinking processes during reasoning.

Answers questions about TypeScript APIs using TypeDoc JSON documentation.

A Docker Compose-based collection of MCP servers for LLM workflows, featuring centralized configuration and management scripts.

A web shop built with MCP, WorkOS AuthKit, and Next.js.

A collection of MCP servers for Electronic Design Automation (EDA) workflows, including tools for die yield calculation and Verilog/SystemVerilog analysis.

An MCP server that acts as a bridge, allowing MCP clients to interact with a target GraphQL API.

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

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

A CLI host that allows Large Language Models (LLMs) to interact with external tools using the Model Context Protocol (MCP).

Instead of direct calling MCP tools, mcpcode server transforms MCP tool calls into TypeScript programs, enabling smarter, lower-latency orchestration by LLMs.

Programmatically control Windows mouse, keyboard, window management, screen capture, and clipboard operations.

An MCP-based server for searching and retrieving development framework documentation, supporting crawling and local file loading.

A Node.js server for AI agents to discover, install, and manage new capabilities on demand via the MCP protocol.

An MCP gateway and proxy designed to simplify applications that utilize various tools.

A CLI host application that enables Large Language Models (LLMs) to interact with external tools through the Model Context Protocol (MCP).

A hub server for managing and scaling multiple MCP servers via flexible Streamable HTTP (SSE) endpoints.

A FastAPI-based gateway for the Model Context Protocol (MCP) designed to unify and scale AI toolchains.

Enables AI assistants to call any REST API or gRPC service by automatically converting their schemas into MCP tools.

A developer tool for testing and debugging MCP servers, supporting STDIO, SSE, and Streamable HTTP protocols.

A self-hosted MCP Server registry for private AI agents, supporting both PostgreSQL and SQLite databases.

A secure MCP-to-OpenAPI proxy server that converts MCP tools into OpenAPI compatible HTTP servers, with support for multiple server types and automatic API documentation.

A universal command-line interface (CLI) gateway to the MCP ecosystem, integrating multiple MCP servers, AI models, and transport protocols.

Expose R functions through the Model Context Protocol (MCP) for seamless integration with AI assistants.

Manage background processes for AI agents using the Model Context Protocol (MCP).

A proxy for routing requests to remote MCP servers.

A secure bridge for LLMs to safely execute command-line tools via the Model Context Protocol (MCP).

An enterprise-grade MCP tool management solution for simplifying AI Agent tool integration, service management, and system monitoring.

A Swift framework for building Model Context Protocol (MCP) servers with a simplified API.