What is the purpose of this project?
It serves as a learning example showing how to mount a Model Context Protocol server on top of a FastAPI application, with a matching client that communicates using the MCP client library.
@KimiJL
基本情報
Example web app mounting a model context protocol (MCP) server on a FastAPI server
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": {
"fastapi-mcp": {
"command": "docker",
"args": [
"build",
"-t",
"fastapi-mcp",
"."
]
}
}
}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。
Description is a simple example web app and client that demonstrates mounting a Model Context Protocol (MCP) server onto an existing FastAPI server. It is intended for developers learning how to integrate MCP with FastAPI.
Build and run the server using Docker (docker build -t fastapi-mcp . then docker run -p 8000:8000 --net=host fastapi-mcp) or set up a Python environment, install dependencies, and run uvicorn src.main:app. Then execute the sample client with python client/client.py.
It serves as a learning example showing how to mount a Model Context Protocol server on top of a FastAPI application, with a matching client that communicates using the MCP client library.
The server can run inside Docker or directly with Python. The client requires the packages listed in `requirements.txt`.
The MCP server is mounted as a sub‑application on the FastAPI server, currently limited to the root path `/` due to a known issue in the MCP Python SDK.

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