#f1

MCP server for Formula 1 data via the FastF1 library. Ask Claude (or any MCP-compatible client) about race results, lap times, telemetry, standings, pit stops, and qualifying — with historical data back to 1950 via the Ergast API. 21 tools covering: - Ergast historical lookups (standings, schedules, race results, driver/circuit info) — 1950 to present - Session data (lap times, race pace, stint analysis, pit stops, qualifying breakdown) - Telemetry (speed traces, sector times, driver comparisons with lap delta) - Utilities (event/driver listing, session cache management) 4 MCP resources: f1://schedule/{year}, f1://drivers/{year}, f1://constructors/{year}, f1://circuits 5 guided prompts: race_recap, qualifying_analysis, driver_comparison, strategy_analysis, weekend_preview Install: pip install fastf1-mcp-server

This project implements the MCP Server for Open Formula 1 to gather F1 race, car, driver, lap and various other information. Open Formula 1 is an open-source API that provides real-time and historical Formula 1 data. The API offers a wealth of information, including lap timings, car telemetry, radio communications, and more. Whether you're looking to create interactive dashboards, dive deep into race analysis, or even develop connected objects that light up every time your favorite driver takes the lead, OpenF1 makes it all possible.

MCP Server to retrieve Formula 1 information (race, driver and car, etc.). Connects to Open Formula 1, which is an open-source API that provides real-time and historical Formula 1 data. The API offers a wealth of information, including lap timings, car telemetry, radio communications, and more. Whether you're looking to create interactive dashboards, dive deep into race analysis, or even develop connected objects that light up every time your favorite driver takes the lead, OpenF1 makes it all possible.

MCP server for F1 Analysis API

Formula-1 MCP server. Essentially a LLM wrapper around theOehrly/Fast-F1

Mirror of