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leewnsdud

Garmin Connect MCP

by leewnsdud
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Python
Remote

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    Related Servers

    • mcp-garmin-connect

      kavakoss
      A
      license
      B
      quality
      B
      maintenance
      An MCP server that gives LLMs access to Garmin Connect data, including training, recovery, sleep, stress, VO2 Max, and running summaries for personalized fitness advice.
      14
      1
      MIT

    • claude-garmin

      Jack-Abyss
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      license
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      quality
      B
      maintenance
      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.
      17
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    • Garmin MCP Lite

      Golden0Voyager
      A
      license
      A
      quality
      C
      maintenance
      A lightweight Garmin Model Context Protocol server with 12 curated endpoints for endurance athletes, enabling natural-language queries of activity, training, health, device, and goal data from Garmin Connect.
      12
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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

    B3.2/5.0

    Scored across 43 tools

    Disambiguation4/5

    Most tools have distinct purposes, but there is some overlap in analysis tools (e.g., analyze_training_load, get_training_load_balance, get_training_status) and data retrieval tools (e.g., get_activities_for_date, get_paginated_activities, get_recent_running_activities) that could cause confusion. Descriptions help differentiate them, but the boundaries are not always clear.

    Naming Consistency5/5

    Tool names follow a highly consistent verb_noun pattern throughout, with clear and descriptive naming (e.g., get_activity_details, analyze_heart_rate_zones, calculate_training_paces). There are no deviations in style or convention, making the set predictable and readable.

    Tool Count2/5

    With 43 tools, the count is excessive for the server's purpose of Garmin Connect integration. Many tools could be consolidated (e.g., multiple get_* tools for similar data types), leading to a bloated and overwhelming interface that may hinder agent usability.

    Completeness5/5

    The tool set provides comprehensive coverage for fitness and training data, including activity retrieval, analysis, metrics, planning, and recovery. It supports full CRUD-like operations (e.g., get, analyze, set, suggest) across the domain, with no obvious gaps in functionality.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources