Garmin MCP
Related Servers
Alternatives to Garmin MCP
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityBmaintenanceExposes your own Garmin Connect activity, health, and training data as read-only MCP tools, covering activities, workouts, sleep, heart rate, HRV, stress, body battery, weight, and women's health. Most tools use Garmin's official Personal API key, with a clearly labeled unofficial fallback for data the official API doesn't yet cover, such as training readiness and VO2 max.MIT
- AlicenseNot gradedqualityDmaintenanceExposes personal Garmin wellness data through MCP tools for accessing summary, sleep, HRV, heart rate, stress, body battery, and historical data.MIT
- FlicenseNot gradedqualityDmaintenanceExposes Garmin Connect health and activity data (steps, sleep, heart rate, etc.) via MCP tools, with built-in login and MFA support.-
- AlicenseBqualityBmaintenanceConnects to Garmin Connect and exposes fitness and health data via 110+ tools for activities, health metrics, workouts, training analytics, and more to MCP-compatible clients.138MIT
- AlicenseBqualityBmaintenanceEnables retrieval of Garmin Connect data such as activities, sleep, heart rate, and body battery levels using unofficial API through MCP tools.4MIT
- FlicenseNot gradedqualityDmaintenanceExposes Garmin Connect health data (steps, sleep, HR, HRV, stress, activities, etc.) as tools for MCP-compatible clients like Claude.-
TDQS
Scored across 24 tools
Each tool maps to a distinct Garmin metric endpoint (stress, steps, hydration, sleep, HRV, SpO2, etc.), so most selection is obvious. The main risk is the single-day vs. multi-day summary pairs like get_daily_sleep/get_daily_sleep_summaries and get_daily_hrv/get_daily_hrv_summaries, plus get_daily_summaries vs get_wellness_activity_summaries, which require reading descriptions to distinguish.
All names are snake_case verb_noun following the get_<resource> pattern that mirrors the official API endpoints. The two non-get verbs (search_activities, download_activity) are semantically appropriate for their actions and still fit the convention.
24 tools is at the heavy edge of the ideal range, but each corresponds to a distinct Garmin wellness/activity endpoint, so most earn their place. The single/summary duplication pairs push the count slightly higher than strictly necessary.
The surface covers a broad read-only slice of Garmin data (wellness metrics, sleep, HRV, activities, downloads, profile) with no dead ends for querying. Gaps exist for write operations, device lists, and broader activity/workout library browsing, but the read-oriented domain is largely handled.