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Formula One MCP Server

@rakeshgangwar

代码仓库

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

rakeshgangwar

关于 Formula One MCP Server

暂无概览

#f1-mcp-server#formula-one#data-access

Formula One MCP Server 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

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?

This Model Context Protocol (MCP) server provides access to Formula One data and statistics using the FastF1 Python library. It allows you to retrieve race calendars, event information, session results, driver data, lap times, telemetry, and championship standings through a clean MCP interface. It is designed for developers using MCP-compatible clients like Cline.

How to use Formula One MCP Server?

Install Python dependencies (pip install fastf1 pandas numpy), then install Node.js dependencies (npm install), build the TypeScript code (npm run build), and add the server to your MCP settings file (e.g., ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json) with the node command pointing to the built index.js.

Key features of Formula One MCP Server

  • Get Formula One race calendars for specific seasons
  • Retrieve detailed information about Grand Prix events
  • Get session results (Race, Qualifying, Practice, Sprint)
  • Access driver information and statistics
  • Analyze driver performance with lap times and telemetry
  • Compare multiple drivers’ performance
  • Get championship standings for drivers and constructors

Use cases of Formula One MCP Server

  • Show the 2023 Formula One race calendar
  • Get results from the 2022 Monaco Grand Prix
  • Compare Hamilton and Verstappen’s performance in the 2021 British Grand Prix
  • Show telemetry data from Leclerc’s fastest lap in a qualifying session
  • Retrieve current F1 championship standings

常见问题

1

What are the runtime dependencies?

Node.js 18 or later, Python 3.8 or later, and the FastF1 Python library with pandas and numpy.

2

Where does the data come from?

The server uses the FastF1 Python library, which provides access to official Formula 1 timing data, car telemetry, and session results.

3

How do I add the server to my MCP client?

Add a JSON entry to your MCP settings file (e.g., Cline’s settings) with the command “node” and the path to the built index.js file. Example configuration is provided in the README.

4

What transports or authentication does it use?

The server communicates via the standard MCP protocol. No authentication is documented; it relies on the local MCP setup.

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