garmin-mcp
Related Servers
Alternatives to garmin-mcp
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityDmaintenanceConnects Garmin watch data to Claude Desktop, allowing users to ask natural language questions about their health and activity data from Garmin Connect.-
- AlicenseAqualityDmaintenanceEnables Claude Desktop to access and analyze Garmin wearable health data including sleep, HRV, Body Battery, and activity metrics. Users can query their health trends, track recovery, and generate interactive HTML dashboards using natural language.97MIT
- AlicenseAqualityBmaintenanceEnables 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.23222 npmMIT
- AlicenseBqualityBmaintenanceConnects Claude Desktop to Garmin Connect, enabling natural language queries of fitness activity data, health metrics, sleep analysis, workout management, and device information with 94 available tools.1101MIT
- FlicenseAqualityDmaintenanceExposes your Garmin Connect data (activities, sleep, recovery, training status) to Claude in read-only mode.7-
- AlicenseAqualityBmaintenanceDaash connects Garmin Connect to ChatGPT and Claude. Your assistant reads your runs, splits, sleep, HRV, Body Battery and recovery, and writes structured workouts and whole training plans to your Garmin calendar, so they're on your watch at the next sync. Free, hosted, open source. Works on free Claude.265MIT
TDQS
Scored across 13 tools
Most tools are clearly separated by domain (daily health, training, fitness, weight, steps, activities, workouts, devices). Some overlap exists, such as steps and heart-rate metrics appearing in both get_daily_health and related history/fitness tools, and whoami vs get_user_profile could be slightly confusing, but the descriptions make the intended boundaries mostly clear.
The tool names are consistently snake_case and nearly all use a get_ verb prefix, with list_activities as a sensible variant. whoami is the only clear naming outlier, but it is a conventional and readable exception.
With 13 tools, the server is well within a reasonable range and each tool maps to a distinct Garmin data area. The grouping is not bloated, and no tool feels redundant purely from a count perspective.
The surface covers the main read-only Garmin domains: health, training, fitness, body composition, steps, activities, goals, workouts, scheduled workouts, devices, and profile. Minor gaps such as retrieving individual workout or goal details may exist, but core workflows appear covered and agents can work around them.