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Garmin Connect MCP Server

by eddmann
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Python
Remote

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    • garmin-unofficial-mcp

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      A local, read-only MCP server that gives Claude access to your Garmin health and training data, exposing tools for health snapshots, training status, run details, body metrics, and training analysis.
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    • claude-garmin

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      MCP server that connects Garmin Connect data to Claude, enabling training analysis, recovery checks, and personalized plans based on real metrics like HRV, training load, and activities.
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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

    A3.9/5.0

    Scored across 22 tools

    Disambiguation5/5

    Each tool targets a distinct function: activities (query, details, compare, similar, period analysis, social, training effect), health data (weight, sleep, HR, activity metrics, summary, womens health, performance), and management (workouts, gear, devices, challenges, goals). No two tools have overlapping purposes, reducing ambiguity.

    Naming Consistency4/5

    Tools follow a verb_noun pattern, but the verbs vary (get, query, manage, log, analyze, compare, find). While each verb is appropriate for its operation, the mix of 'get_' and 'query_' for similar retrieval actions introduces minor inconsistency. Overall pattern is clear but not perfectly uniform.

    Tool Count4/5

    With 22 tools, the set is slightly above the typical well-scoped range (3-15) but appropriate for the breadth of Garmin Connect's capabilities. Each tool covers a distinct area without unnecessary duplication, and the number reflects the domain complexity.

    Completeness5/5

    The tool set covers all major Garmin Connect features: activity tracking (query, details, compare, similar, period analysis, social, training effect), health metrics (weight, sleep, HR, activity metrics, health summary, performance, womens health), and management (workouts, gear, devices, challenges, goals). No obvious gaps for core functionality.

    Maintenance

    ActivityInactive
    ResponsivenessSlow

    Resources