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Alternatives to Garmin MCP Lite

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    Related Servers

    • F
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      A Model Context Protocol server that integrates Garmin Connect data with LLMs to provide personalized running analysis and training plans. It enables users to monitor performance metrics, manage training loads, and receive data-driven workout suggestions based on health indicators like VO2 Max and recovery status.
      43
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      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.
      24
      424 PyPI
      1
      MIT
    • A
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      A Model Context Protocol (MCP) server that provides comprehensive access to Garmin Connect data including sleep analytics, health metrics, activities, and training volume analysis.
      16
      67 npm
      8
      MIT
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      MCP server that lets you ask questions about your Garmin training history in plain language. It ingests FIT files into DuckDB locally and exposes typed tools for analyzing activities, streams, and summaries.
      9
      MIT

    TDQS

    A3.8/5.0

    Scored across 15 tools

    Disambiguation4/5

    Each tool targets a distinct data resource (activities, activity detail, zones, health, gear, events, challenges, coach, etc.), and the descriptions explicitly cross-reference related tools (zones ↔ activity_detail hrZones). Minor overlap exists between garmin_health (which returns resting HR under "steps"), garmin_hr_trend, and garmin_training_status (also surfaces recovery/readiness), so an agent could pick the wrong one when looking for heart-rate or readiness data.

    Naming Consistency5/5

    Every tool follows the same `garmin_<resource>` snake_case pattern with no deviations or style mixing. Names are predictable enough that an agent can guess a tool's existence from its resource.

    Tool Count5/5

    15 tools sits at the top of the well-scoped range but each maps to a genuinely distinct Garmin data domain, with no filler. The many-metric `garmin_health` tool is sensibly bundled rather than split into nine separate tools, keeping the surface compact.

    Completeness4/5

    The read-only surface covers the core Garmin lifecycle well: activities, activity detail, health, training status/plan, zones, PRs, gear, events, challenges, and device info. Gaps are mostly around write/action operations (no marking workouts complete, adjusting training plans, uploading or editing activities), which may be intentional for a "Lite" server but leaves some agent workflows as dead ends.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues