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willc121

Garmin Health MCP Server

by willc121
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    Related Servers

    • GarminSynapse

      kaivyy
      F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI assistants to retrieve and analyze Garmin Connect health data, including daily summaries, sleep, HRV, workouts, and raw FIT files, while also supporting SQL queries on the underlying database.
      1
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    • garmin-mcp

      mskerwiderski
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables reading and analyzing Garmin Connect data—activities, health metrics, FIT files, and challenges—through natural language, for AI assistants like Claude and ChatGPT.
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    • garmin-mcp

      shawnduggan
      A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI assistants to query live Garmin Connect health and fitness data, including daily metrics, activities, sleep analysis, and trends via natural language.
      MIT

    • strava-mcp

      benniblau
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      license
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      quality
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      Enables querying and analyzing personal Strava activity data through natural language, including activities, segments, gear, and training trends.
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    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

    A3.5/5.0

    Scored across 7 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose targeting specific health and fitness data domains, such as activities, health summary, heart rate zones, race predictions, sleep, training load, and VO2 max. There is no overlap in functionality, and an agent can easily differentiate between them based on their descriptive names and scopes.

    Naming Consistency5/5

    All tool names follow a consistent 'get_' prefix pattern with descriptive nouns, such as get_activities, get_health_summary, and get_heart_rate_zones. This uniformity makes the tool set predictable and easy to navigate, adhering to a clear verb_noun convention throughout.

    Tool Count5/5

    With 7 tools, the server is well-scoped for a health and fitness data domain, covering key aspects like activities, sleep, training metrics, and predictions. Each tool serves a distinct purpose without redundancy, making the count appropriate and manageable for the server's intended use.

    Completeness4/5

    The tool set provides comprehensive read-only coverage for retrieving health and fitness data, including summaries, detailed metrics, and predictions. A minor gap exists in the lack of write or update operations, but for a data retrieval-focused server, this is reasonable and agents can work effectively with the available tools.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

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