mcp-f1
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Related Servers
- FlicenseNot gradedqualityDmaintenanceEnables access to Formula 1 data from the openF1.org API, including driver information, race results, lap times, telemetry, pit stops, weather conditions, and live position data across multiple seasons.-
- AlicenseCqualityDmaintenanceProvides easy access to Formula 1 data including championship standings, event info, season calendars, track visualizations, session results, and driver/constructor info via FastF1 and OpenF1 API.171MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to query real-time and historical Formula 1 data through the OpenF1 API, providing tools for driver info, lap times, telemetry, race events, and more.MIT
- AlicenseBqualityDmaintenanceProvides comprehensive Formula 1 data access including race schedules, session results, lap times, telemetry data, driver/constructor standings, and circuit information. Enables users to retrieve and analyze F1 racing data through natural language queries using the FastF1 Python package.5MIT

mcp-f1official
AlicenseNot gradedqualityBmaintenanceProvides Formula 1 data via the Ergast API, enabling users to check current standings, get race results, view the season schedule, and look up driver profiles.28 npmMIT- FlicenseNot gradedqualityDmaintenanceA real-time Formula 1 analytics server that lets you ask natural language questions about races, lap times, tyre strategies, pit stops, and more using live data from the OpenF1 API.-
TDQS
Scored across 20 tools
Most tools target clearly distinct F1 data endpoints (weather, laps, pit stops, car data, etc.), but get_drivers_championship and get_drivers_championship_view fetch the same standings with different rendering, which could cause selection confusion. get_race_replay_view also partially overlaps with position/location tools, though its replay purpose is described distinctly.
All tools follow a consistent get_<resource> snake_case pattern (e.g., get_weather, get_drivers, get_laps). The two view tools add a predictable _view suffix, so the naming remains coherent and readable.
20 tools is on the heavy side, but the F1 data domain is broad and each tool maps to a distinct OpenF1 endpoint or presentation layer. The count is reasonable rather than bloated, though it could be tightened by merging the championship view with its data tool.
The set covers the full OpenF1 read-only surface: sessions, meetings, drivers, results, grids, positions, laps, pit stops, stints, intervals, race control, overtakes, radio, telemetry, location, and both championships. The added view tools provide optional rendering without leaving obvious gaps.