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marcelfortmann

garmin-mcp

by marcelfortmann
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    • garmin-mcp

      cadencheng888
      F
      license
      Not graded
      quality
      D
      maintenance
      Connects Garmin watch data to Claude Desktop, allowing users to ask natural language questions about their health and activity data from Garmin Connect.
      -

    • Garmin Health MCP Server

      eversonl
      A
      license
      A
      quality
      D
      maintenance
      Enables Claude Desktop to access and analyze Garmin wearable health data including sleep, HRV, Body Battery, and activity metrics. Users can query their health trends, track recovery, and generate interactive HTML dashboards using natural language.
      9
      6
      MIT

    • garmin-mcp

      Bartolome69
      A
      license
      A
      quality
      B
      maintenance
      Connect Garmin to Claude or ChatGPT. Ask about your runs, sleep and recovery, and put structured workouts and whole training plans on your watch. Run it locally, or use Daash's hosted server with OAuth: no install.
      8
      3
      MIT

    • garmin-mcp

      Lander-garmin
      A
      license
      B
      quality
      B
      maintenance
      Enables Claude to access and query your Garmin Connect data—sleep, training, heart rate, and more—through a suite of read-only tools, with an optional write path for creating strength workouts.
      63
      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 13 tools

    Disambiguation4/5

    Most tools are clearly separated by domain (daily health, training, fitness, weight, steps, activities, workouts, devices). Some overlap exists, such as steps and heart-rate metrics appearing in both get_daily_health and related history/fitness tools, and whoami vs get_user_profile could be slightly confusing, but the descriptions make the intended boundaries mostly clear.

    Naming Consistency4/5

    The tool names are consistently snake_case and nearly all use a get_ verb prefix, with list_activities as a sensible variant. whoami is the only clear naming outlier, but it is a conventional and readable exception.

    Tool Count5/5

    With 13 tools, the server is well within a reasonable range and each tool maps to a distinct Garmin data area. The grouping is not bloated, and no tool feels redundant purely from a count perspective.

    Completeness4/5

    The surface covers the main read-only Garmin domains: health, training, fitness, body composition, steps, activities, goals, workouts, scheduled workouts, devices, and profile. Minor gaps such as retrieving individual workout or goal details may exist, but core workflows appear covered and agents can work around them.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources