Best & Trending MCP Servers
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MCP server for Withings health data integration
An Model Context Protocol (MCP) server that provides access to the Fastmail API, enabling AI assistants to interact with email, contacts, and calendar data.
MCP Task Manager (npm package: taskqueue-mcp) is a Model Context Protocol (MCP) server for AI task management.
Control Adobe Premiere Pro from Claude/Codex with 170+ editing tools via Model Context Protocol
is a RAG (Retrieval-Augmented Generation) framework that transforms your local workspace into a 3D cosmic nebula of knowledge.
Atari Lynx emulator, debugger, and embedded MCP server for macOS, Windows, Linux, BSD and RetroArch.
Security and Authorization support for Model Context Protocol in Spring AI.
A comprehensive set of PDF manipulation tools built with the Model Context Protocol (MCP) framework.
Supercharge OCaml development with AI coding agents. This MCP server gives AI assistants deep integration with your OCaml projects through Dune, Merlin, and other OCaml Platform tools.
A Model Context Protocol (MCP) implementation that enables seamless integration between Claude AI and desktop applications through Cursor IDE.
A Python project that creates a Model Context Protocol (MCP) server for accessing MLB statistics data through the MLB Stats API and pybaseball library for statcast, fangraphs, and baseball reference...
⚡ 30-Second Install • 🚀 Quick Start • 🏗️ Architecture • 🎯 Why Pullrun? • 🗺️ Feature Map • ☸️ Kubernetes • 🤖 AI Agents
A Model Context Protocol (MCP) server that provides access to Gong's API for retrieving call recordings and transcripts.
A Model Context Protocol (MCP) server that enables AI models to interact with Nostr, allowing them to post notes and interact with the freedom of speech protocol.
A template for building MCP servers. Clone it, strip what you don't need, wire your API client, define tools. It's designed to be readable and easy to build on.
MCP In Action 是一个实战项目，旨在帮助开发者快速掌握 Model Context Protocol (MCP) 的开发与应用。本项目通过实际案例展示如何构建基于 MCP 的应用，使大语言模型能够与外部工具和数据源进行交互，从而增强模型的能力范围。
AI agents recompute the same work. trace-mcp makes them reuse instead. The recomputation → reuse layer for AI systems.
I've kind of given up on this as I don't have money to train it. Feel free to submit any sort of pull requests :)
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Grant the AI octopus access to a portion of your desktop with a Model Context Protocol (MCP) server for the GNOME desktop.
This is a basic example of a Model Context Protocol (MCP) server implementation that demonstrates core functionality including tools and resources.
The enables AI assistants like GitHub Copilot, Claude, and custom LLM applications to generate professional architecture diagrams, flowcharts, sequence diagrams, and more using natural language.
Enable MCP features for any Gin API with a line of code. Gin-MCP is an opinionated, zero-configuration library that automatically exposes your existing Gin endpoints as Model Context Protocol (MCP)...
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