garmin-mcp
Related Servers
Alternatives to garmin-mcp
No user-submitted related servers found.
Related Servers
- 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.264MIT
- AlicenseBqualityBmaintenanceEnables Claude to access and query your Garmin Connect data—sleep, training, heart rate, and more—through a suite of read-only tools, with an optional write path for creating strength workouts.63MIT
- AlicenseAqualityAmaintenanceEnables 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.23153 npmMIT
- AlicenseAqualityBmaintenanceEnables Claude to access and query your Garmin Connect data, including sleep, activities, training load, and health metrics, through a set of read-only MCP tools.28169 PyPI5MIT
- FlicenseAqualityDmaintenanceExposes your Garmin Connect data (activities, sleep, recovery, training status) to Claude in read-only mode.7-
- AlicenseBqualityAmaintenanceConnects 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
TDQS
Scored across 24 tools
Most tools have clearly distinct purposes by resource and action, such as sleep, HRV, stress, and training readiness. The main overlap is between list_activities and get_recent_activities, and to a lesser extent get_daily_summary versus the individual day-level metric tools, but the descriptions make the intended use mostly clear.
Tool names consistently use snake_case with predictable verb_noun or get_noun patterns: get_sleep, list_activities, create_workout, schedule_workout, delete_workout, update_activity. Minor verb variation such as add_weigh_in does not meaningfully break the pattern.
At 24 tools the surface is somewhat heavy, but the breadth is justified by a wide health and fitness domain spanning daily metrics, training, activities, and workouts. It is near the upper reasonable range but not excessive for a comprehensive Garmin integration.
The server covers core Garmin workflows: health metrics, trends, sleep, HRV, body battery, training status, activities, and workout scheduling/deletion. Minor gaps remain, such as updating an existing workout or retrieving a single saved workout in detail, but agents can work around these for most tasks.