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Garmin Connect MCP Server

by rmc8
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Python
Remote

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Alternatives to Garmin Connect MCP Server

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    Related Servers

    • garmin-mcp

      marcelohensantos
      F
      license
      Not graded
      quality
      C
      maintenance
      Exposes Garmin Connect data and workout management to AI agents, supporting tools, resources, and prompts for health data, workout creation, and coaching workflows.
      1
      -

    • Garmin Connect MCP

      LePomas
      A
      license
      B
      quality
      D
      maintenance
      Exposes personal Garmin Connect data to MCP-capable clients like Claude and Gemini. Enables querying daily stats, heart rate, sleep, activities, and managing workouts.
      16
      MIT

    • 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.
      8
      -

    • garmin-mcp

      srichards2103
      A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI assistants to retrieve and discuss personal fitness activities, training splits, heart-rate zones, and daily health metrics from a Garmin Connect account.
      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 15 tools

    Disambiguation4/5

    Most tools target distinct health metrics, but get_daily_steps vs get_steps_data and get_stress_data vs get_all_day_stress could confuse an agent due to overlapping purposes.

    Naming Consistency5/5

    All tools use snake_case with a consistent 'get_<resource>' pattern. Minor deviations like 'get_all_day_stress' vs 'get_stress_data' are inconsequential.

    Tool Count4/5

    15 tools is slightly above the typical sweet spot but still reasonable for covering diverse health metrics without feeling overly burdensome.

    Completeness3/5

    The tool set covers many health metrics but lacks write operations (e.g., logging activities) and misses common Garmin data like workouts or courses, leaving notable gaps.

    Maintenance

    ActivityStale
    ResponsivenessNo issues

    Resources