Formula One MCP Server
@rakeshgangwar
About Formula One MCP Server
No overview available yet
Config
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Overview
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
FAQ from Formula One MCP Server
What are the runtime dependencies?
Node.js 18 or later, Python 3.8 or later, and the FastF1 Python library with pandas and numpy.
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.
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.
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.
What are the known limits?
—
Frequently asked questions
What are the runtime dependencies?
Node.js 18 or later, Python 3.8 or later, and the FastF1 Python library with pandas and numpy.
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.
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.
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.
Basic information
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