garmin-mcp
Related Servers
Alternatives to garmin-mcp
No user-submitted related servers found.
Related Servers
- AlicenseBqualityAmaintenanceEnables users to analyze their own Garmin Connect data—activities, sleep, HRV, Body Battery, training readiness—directly inside Claude Desktop.132MIT
- AlicenseAqualityAmaintenanceProvides Claude Code and Claude Desktop with safe, read-only access to your local Garmin training data, readiness decisions, run details, and trends so you can get coaching advice in natural language.131MIT
- FlicenseNot gradedqualityCmaintenanceConnects Garmin watch data to Claude Desktop, allowing users to ask natural language questions about their health and activity data from Garmin Connect.-
- 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.28137 PyPI1MIT
- AlicenseNot gradedqualityBmaintenanceEnables reading and analyzing Garmin Connect data—activities, health metrics, FIT files, and challenges—through natural language, for AI assistants like Claude and ChatGPT.MIT
- AlicenseNot gradedqualityDmaintenanceExposes your Strava data to Claude, enabling training load analysis, activity comparison, and lap splits via conversation.19 npmMIT
TDQS
Scored across 7 tools
Each tool targets a distinct aspect of Garmin Connect: login, activities, daily summary, recovery, training zones, training status, and activity detail. There is no overlap in purpose.
All tools use snake_case with a clear 'get_' prefix for queries and a single 'garmin_login' for authentication. The naming pattern is consistent and predictable.
Seven tools is well-scoped for a fitness data server, covering login, activity listing, daily summary, recovery metrics, training zones, training status, and activity detail. No tool feels superfluous.
The tools cover common read operations for Garmin Connect, but lack filtering by date range for activities and batch retrieval for metrics. Minor gaps that do not severely hinder typical use.