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OpenF1 MCP Server

OpenF1 MCP Server

by ragulhari

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    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables 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
    • F
      license
      Not graded
      quality
      D
      maintenance
      Enables 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.
      -
    • A
      license
      C
      quality
      C
      maintenance
      Enables 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.
      77
      MIT
    • A
      license
      B
      quality
      D
      maintenance
      Provides 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.
      5
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Provides 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 npm
      MIT

    TDQS

    B3.4/5.0

    Scored across 20 tools

    Disambiguation3/5

    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.

    Naming Consistency5/5

    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.

    Tool Count4/5

    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.

    Completeness4/5

    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.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues