What is FastMCP and how is it related to the SDK?
FastMCP is a high‑level, Pythonic interface for building MCP servers. Originally a standalone project, it has been integrated into the official MCP Python SDK.
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基本信息
Read the docs Documentation for the MIT decentralized AI, MCP hackathon
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"MCP_Hackathon_docs": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
This repository contains the documentation for the Model Context Protocol (MCP) Python SDK, built with Sphinx and the Read the Docs theme. It helps developers understand core MCP concepts, build servers (including with FastMCP), create clients, and explore advanced topics.
To build locally, install dependencies (e.g., pip install -r requirements.txt) then run make html; the output is placed in _build/html/. For a live preview with auto‑reload, run sphinx-autobuild . _build/html. To host on GitHub Pages, use the provided GitHub Actions workflow (recommended) or manually deploy to a gh-pages branch.
FastMCP is a high‑level, Pythonic interface for building MCP servers. Originally a standalone project, it has been integrated into the official MCP Python SDK.
First install dependencies (`pip install -r requirements.txt`) then run `make html` from the repository root. The built HTML will appear in `_build/html/`.
You can either use the included GitHub Actions workflow (recommended) or manually deploy to a `gh-pages` branch. Both processes are described in the README.
Python, Sphinx, and the packages listed in `requirements.txt`. Using a virtual environment or conda is recommended.
The README lists the official MCP website, the Python SDK GitHub repository, the MCP specification, a list of officially supported servers, and the legacy FastMCP GitHub repository.

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