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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基本情報
Read the docs Documentation for the MIT decentralized AI, MCP hackathon
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"MCP_Hackathon_docs": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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.

Islamic source data for assistants: Quran, hadith, tafsir, duas, prayer times and qibla. Answers come from real sources with citations instead of recalled text, so verses and hadith are not hallucinated. 36,000+ hadiths

Exact, shared memory for AI agents: a hierarchical database where totals always add up, every write is attributed to the agent and person behind it, and any figure traces back to its source file. Agents create databases,

Mess in, magic out: pour in your D&D and TTRPG notes and LoreKeeper keeps them as a private store for your world. Ask Claude or ChatGPT about it, or build a sourcebook.

Local AI agent for your Mac with a built-in MCP server: 18 tools for your notes and PDFs, a temporal memory graph, an on-device LLM and a neural voice. No account, no telemetry. No data centers required.

One permissioned folder your team and your AI agents both log into.
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