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Formula One MCP Server

@Machine-To-Machine

代码仓库

基本信息

分类

其他

许可证

MIT license

传输方式

stdio

作者

Machine-To-Machine

关于 Formula One MCP Server

暂无概览

Formula One MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Formula One MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

常见问题

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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