What dependencies does it require?
Python libraries: anyio, click, fastf1, mcp, numpy, pandas, and uvicorn.
@MCP-Mirror
基本情報
Mirror of
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": {
"Machine-To-Machine_f1-mcp-server": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@Machine-To-Machine/f1-mcp-server",
"--client",
"claude"
]
}
}
}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。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
A Model Context Protocol (MCP) server that provides Formula One racing data. It exposes tools for querying event schedules, driver information, telemetry data, and race results, making F1 data accessible to AI assistants and developers via the MCP standard.
Install via uv add f1-mcp-server or pip install f1-mcp-server. Run in standard I/O mode with uvx f1-mcp-server or in SSE transport mode with uvx f1-mcp-server --transport sse --port 8000. The server exposes tools such as get_event_schedule, get_driver_info, and compare_drivers for querying F1 data.
Python libraries: anyio, click, fastf1, mcp, numpy, pandas, and uvicorn.
No. The server relies on FastF1 to fetch publicly available F1 data and does not require any API key or authentication.
Use `uvx f1-mcp-server --transport sse --port 8000` to enable Server‑Sent Events mode on port 8000.
Underlying data is provided by FastF1, an open‑source Python package for accessing Formula 1 telemetry, timing, and event data.
Yes. It can be installed for Claude Desktop automatically via Smithery with the command `npx -y @smithery/cli install @Machine-To-Machine/f1-mcp-server --client claude`.
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