
MCP Apple Notes
A local server based on the MCP protocol that implements semantic search and RAG functions for Apple Notes, which can be called by AI assistants such as Claude.
TypeScript
4.5K
3.5 points

Imessage MCP
This project is a local iMessage RAG service developed for the Anthropic NYC MCP Hackathon. The functions may be unstable. It provides basic setup guides but has no long-term maintenance plan.
Python
3.7K
2.5 points

MCP Rag Search Server
A custom MCP server based on FastMCP that provides RAG functionality and multiple web search capabilities (Gemini 2.0 and Linkup), supporting local document retrieval and AI-enhanced search.
Python
3.5K
2 points

Probonobonobo Sui MCP Server
This project implements a server based on the MCP protocol, integrating the FAISS vector database and RAG technology, supporting the extraction of Move files from GitHub and building a knowledge base, and providing document retrieval and enhanced generation functions.
Python
3.6K
2 points

Quick Example
The MCP protocol standardizes the interaction between applications and LLMs, and realizes unified management of tool invocation, resource access, and prompt templates through a modular architecture (server, client, host). This project demonstrates how to build an MCP server and client that support knowledge base queries, context selection, and analysis processes.
Python
3.5K
2 points

Agenticmcp Rag
RAG project based on MCP server
Python
3.8K
2.5 points
Featured MCP Services

Markdownify MCP
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Figma Context MCP
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Unity
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UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
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Gmail MCP Server
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Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
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5.3K
4.7 points