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Garmin Health Connect

by NevoNadav
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JavaScript
Remote

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    Related Servers

    • garmin-mcp

      mskerwiderski
      A
      license
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      quality
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      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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    • GC-MCP

      macakdev
      F
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      quality
      B
      maintenance
      Enables AI assistants to access and query Garmin Connect health and fitness data, including sleep, HRV, training load, and activities, with an optional coaching plugin for personalized training plans.
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    • Garmin MCP Server

      zjromani
      F
      license
      Not graded
      quality
      D
      maintenance
      Enables ChatGPT to access and analyze personal Garmin health data including daily steps, heart rate, calories, sleep duration, and body battery levels. Collects data via webhook from Garmin devices and provides health insights through natural language queries.
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    • Garmin Personal MCP

      kongdayan
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      Enables users to connect ChatGPT or remote MCP clients to their own Garmin cloud health and activity data through a self-hosted, read-only OAuth-protected Cloudflare Worker.
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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
    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

    A3.6/5.0

    Scored across 15 tools

    Disambiguation3/5

    The set has several overlapping read paths: garmin_daily_metrics can return summary, sleep, HRV, and more over ranges, while garmin_daily_summary, garmin_sleep, garmin_hrv, and garmin_health_snapshot cover similar metrics for single days or combined snapshots. Descriptions provide guidance, but an agent could still misselect between the umbrella, single-day, and snapshot tools.

    Naming Consistency5/5

    All tools consistently use the garmin_ prefix with snake_case resource-oriented names. The singular/plural distinction between garmin_activity and garmin_activities is conventional and readable.

    Tool Count4/5

    Fifteen tools is reasonable for the breadth of Garmin health data covered, sitting at the upper end of a well-scoped set. Some redundancy between aggregate and individual metric tools slightly weakens the sense that every tool earns its place.

    Completeness4/5

    The surface covers a broad read-only health domain: daily summaries, sleep, HRV, heart rate, body battery, SpO2, fitness age, activities, workouts, zones, nutrition, and connection status. Minor gaps exist, such as device/profile details or write/logging operations, but core health-reading workflows are well supported.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources