Formula One MCP Server

A Model Context Protocol (MCP) server that provides Formula One racing data. This package exposes various tools for querying F1 data including event schedules, driver information, telemetry data, and race results.

Features

• Event Schedule: Access the complete F1 race calendar for any season
• Event Information: Detailed data about specific Grand Prix events
• Session Results: Comprehensive results from races, qualifying sessions, sprints, and practice sessions
• Driver Information: Access driver details for specific sessions
• Performance Analysis: Analyze a driver's performance with lap time statistics
• Driver Comparison: Compare multiple drivers' performances in the same session
• Telemetry Data: Access detailed telemetry for specific laps
• Championship Standings: View driver and constructor standings for any season

Installation

Installing via Smithery

To install f1-mcp-server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @Machine-To-Machine/f1-mcp-server --client claude

Manual Installation

In a uv managed python project, add to dependencies by:

uv add f1-mcp-server

Alternatively, for projects using pip for dependencies:

pip install f1-mcp-server

To run the server inside your project:

uv run f1-mcp-server

Or to run it globally in isolated environment:

uvx f1-mcp-server

To install directly from the source:

git clone https://github.com/Machine-To-Machine/f1-mcp-server.git
cd f1-mcp-server
pip install -e .

Usage

Command Line

The server can be run in two modes:

Standard I/O mode (default):

uvx run f1-mcp-server

SSE transport mode (for web applications):

uvx f1-mcp-server --transport sse --port 8000

Python API

from f1_mcp_server import main

# Run the server with default settings
main()

# Or with SSE transport settings
main(port=9000, transport="sse")

API Documentation

The server exposes the following tools via MCP:

See the FastF1 documentation for detailed information about the underlying data: FastF1 Documentation

Dependencies

• anyio (>=4.9.0)
• click (>=8.1.8)
• fastf1 (>=3.5.3)
• mcp (>=1.6.0)
• numpy (>=2.2.4)
• pandas (>=2.2.3)
• uvicorn (>=0.34.0)

Development

Setup Development Environment

git clone https://github.com/Machine-To-Machine/f1-mcp-server.git
cd f1-mcp-server
uv venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate
uv pip install -e ".[dev]"

Code Quality

# Run linting
uv run ruff check .

# Run formatting check
uv run ruff format --check .

# Run security checks
uv run bandit -r src/

Contribution Guidelines

1. Fork the repository
2. Create a feature branch: git checkout -b feature-name
3. Commit your changes: git commit -am 'Add some feature'
4. Push to the branch: git push origin feature-name
5. Submit a pull request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Authors

• Machine To Machine

Acknowledgements

This project leverages FastF1, an excellent Python package for accessing Formula 1 data. We are grateful to its maintainers and contributors.

This project was inspired by rakeshgangwar/f1-mcp-server which was written in TypeScript. The f1_data.py module was mostly adapted from their source code.

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