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Garmin Health MCP Server

Garmin Health MCP Server

by eversonl

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Alternatives to Garmin Health MCP Server

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    Related Servers

    • 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.
      -
    • 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
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables Claude and any MCP client to read a user's own Garmin account in plain language, covering activities, time-series charts, thresholds, sleep, HRV, Body Battery, stress, readiness and trends. It also serves a private local dashboard that downloads the full training and health history, correlates metrics across views, and exports any table as CSV.
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Enables Claude to read your own Garmin Connect data—activities and exact pace splits, VO2 max and training effect, sleep, HRV, Body Battery, stress, weight and more—through Garmin's official Personal API, with no password or scraping. Access is read-only and runs entirely on your machine, so you can ask natural-language questions about training and recovery.
      23
      153 npm
      MIT

    TDQS

    A3.5/5.0

    Scored across 9 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose targeting specific health metrics or functions, with no overlap in scope. The tools cover different data types like activities, body battery, heart rate, HRV, sleep, stress, summaries, and profiles, making them easily distinguishable.

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern with 'get_' or 'generate_' prefixes, using snake_case uniformly. This predictable naming scheme enhances readability and reduces confusion for agents.

    Tool Count5/5

    With 9 tools, the server is well-scoped for a health data domain, covering key metrics without being overwhelming. Each tool serves a specific, necessary function, making the count appropriate for comprehensive health monitoring.

    Completeness4/5

    The toolset provides broad coverage for retrieving health metrics, including core data like activities, sleep, and stress, with a summary tool for aggregation. A minor gap exists in update or management tools for user data, but retrieval operations are largely complete for the domain.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues