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Garmin Connect MCP

by LePomas
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Python
Remote

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    Related Servers

    • Garmin MCP Server

      jbaker48
      A
      license
      Not graded
      quality
      D
      maintenance
      Connects to Garmin Connect and exposes fitness and health data (activities, steps, heart rate, sleep, body composition) to MCP-compatible clients like Claude.
      MIT

    • health-mcp

      jonathan249
      A
      license
      Not graded
      quality
      D
      maintenance
      Exposes personal Garmin wellness data through MCP tools for accessing summary, sleep, HRV, heart rate, stress, body battery, and historical data.
      MIT

    • Garmin Connect MCP Server

      DankeyDevDave
      A
      license
      Not graded
      quality
      C
      maintenance
      Connects Garmin Connect data to MCP-compatible clients, providing access to fitness activities, health metrics, and training plans. It supports advanced features like headless 2FA and automated MFA retrieval to enable seamless health data interaction through natural language.
      1
      MIT
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    B3.4/5.0

    Scored across 16 tools

    Disambiguation4/5

    Most tools target distinct data types or actions, but there is direct overlap between garmin_connection_status and garmin_ping, both described as checking login status without returning personal data. Also, workout scheduling tools (garmin_create_scheduled_workout vs garmin_schedule_workout) may cause slight confusion, though descriptions clarify differences.

    Naming Consistency5/5

    All tools follow a consistent 'garmin_' prefix followed by snake_case nouns or verb-noun phrases (e.g., garmin_activity, garmin_create_scheduled_workout). The naming pattern is uniform and predictable.

    Tool Count5/5

    With 16 tools covering diverse health and fitness data (activities, body battery, heart rate, sleep, stress, workouts, profile, etc.), the count is well-scoped for a personal data access server. Each tool serves a clear purpose without being excessive.

    Completeness4/5

    The tool set covers core query and some mutation operations for Garmin data. However, gaps exist: no tool to delete workout templates (only unschedule), no activity deletion, and no date-range filtering for activities beyond recent. Overall, minor missing features for a comprehensive Garmin management surface.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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