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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Basic information
Read the docs Documentation for the MIT decentralized AI, MCP hackathon
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"MCP_Hackathon_docs": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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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Local MCP server and CLI that keeps a Git-versioned, model-written index of a codebase and its database schema, so coding agents start each task with the whole system in view.

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