OpenF1 MCP Server
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- 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
- 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.-
- AlicenseCqualityCmaintenanceEnables Claude to answer Formula 1 questions using real public data: race, sprint and qualifying results back to 1950, lap and sector times, 4 Hz car telemetry, tyre stints, pit stops and undercut strategy, plus locally drawn speed-trace and gear-shift plots. Also covers live session timing — positions, gaps, tyres, flags and weather — through 77 read-only tools that need no account, login or API key.77MIT
- 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
- AlicenseAqualityBmaintenanceFormula 1 data from the OpenF1 API: sessions, standings, laps, telemetry, and race replay.201MIT

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.9 npmMIT
TDQS
Scored across 20 tools
Several tools overlap in practice: get_session_result and get_race_summary both return session classifications/standings, while get_stints and get_tyre_strategy both expose tyre-stint information. get_pit also partially overlaps with get_tyre_strategy because strategy includes pit stops. Descriptions help, but an agent could still misselect among these related tools.
All tool names follow a clear snake_case verb_noun pattern, with get_* used for the vast majority and compare_fastest_laps as a natural action-specific variant. There is no mixing of camelCase, vague names, or inconsistent structural conventions.
Twenty tools is slightly heavy, but the F1 data domain is broad and each tool maps to a recognizable data type or analysis operation. The count is reasonable for the scope, though some redundancy among result, tyre, and pit tools keeps it from being perfectly scoped.
The surface covers the core F1 workflow very well: meetings, sessions, drivers, results, championships, laps, stints, pits, positions, intervals, race control, weather, telemetry, location, and fastest-lap comparison. Minor gaps remain, such as no explicit team-radio tool and no standalone teams endpoint beyond championship context.