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Formula One MCP Server

@Machine-To-Machine

リポジトリ

基本情報

カテゴリ

その他

ライセンス

MIT license

トランスポート

stdio

作者

Machine-To-Machine

Formula One MCP Server について

概要はまだありません

Formula One MCP Server の設定

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": {
    "f1-mcp-server-machine-to-machine": {
      "command": "uv",
      "args": [
        "run",
        "f1-mcp-server"
      ]
    }
  }
}

Formula One MCP Server のツール

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。

概要

What is Formula One MCP Server?

A Model Context Protocol (MCP) server that provides Formula One racing data via tools for querying event schedules, driver information, telemetry, race results, and championship standings. It is built on the FastF1 Python package and is designed for developers integrating F1 data into AI assistants or data analysis applications.

How to use Formula One MCP Server?

Install the package with pip install f1-mcp-server or uv add f1-mcp-server in a Python project. Run the server in standard I/O mode with uvx f1-mcp-server or in SSE transport mode (e.g., for web applications) with uvx f1-mcp-server --transport sse --port 8000. The server can also be invoked via the Python API with main().

Key features of Formula One MCP Server

  • Access complete F1 race calendar for any season
  • Get detailed information about specific Grand Prix events
  • Retrieve results from races, qualifying, sprints, and practice
  • Access driver details for specific sessions
  • Analyze a driver’s performance with lap time statistics
  • Compare multiple drivers’ performances in the same session

Use cases of Formula One MCP Server

  • Query upcoming F1 race schedules in an AI assistant
  • Compare teammates’ lap times in a qualifying session
  • Analyze a driver’s performance trends across multiple races
  • Retrieve championship standings for a given season
  • Obtain telemetry data for a specific lap to analyze driving technique

よくある質問

1

What data does the server provide?

It exposes tools for event schedules, detailed Grand Prix info, session results, driver information, performance analysis, driver comparisons, telemetry data, and championship standings (both drivers and constructors).

2

How do I install the server?

Install via `pip install f1-mcp-server` or add `f1-mcp-server` to a `uv` project with `uv add f1-mcp-server`.

3

How do I run the server?

Use `uvx f1-mcp-server` to run in an isolated environment, or `uv run f1-mcp-server` within a project. The server supports standard I/O (default) and SSE transport modes for web applications.

4

What are the main dependencies?

Dependencies include `anyio`, `click`, `fastf1`, `mcp`, `numpy`, `pandas`, and `uvicorn`.

5

Is the server open source?

Yes, it is licensed under the MIT License and hosted on GitHub.

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