wechat-local-mcp vs fastapi_mcp
wechat-local-mcp: WeChat Local MCP is a local data server that reads WeChat 4.x chat history, contacts, groups, and media files via the Model Context Protocol. It provides 25 MCP tools with cache-first indexing and agent-friendly installation on macOS and Windows. Ideal for AI agents like Claude Code, Codex, and Cursor to access personal WeChat data.; fastapi_mcp: FastAPI-MCP allows you to expose your existing FastAPI endpoints as Model Context Protocol (MCP) tools. It offers native integration with FastAPI, including built-in authentication using existing dependencies, and preserves schemas and documentation.
TL;DR
Read local WeChat chat history, contacts, groups, media files, and Moments
- You already have a FastAPI application and want to expose its endpoints as MCP tools while reusing your existing FastAPI authentication dependencies and Swagger schemas.
- You want to mount the MCP server directly onto your ASGI app or deploy it separately under an MIT license.
- You are building a standalone MCP server from scratch rather than wrapping a FastAPI app; use FastMCP or the official MCP Python SDK.
- You need an actively updated repository (last push was November 2025).
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