runcoach
Related Servers
Alternatives to runcoach
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityCmaintenanceConnects Garmin watch data to Claude Desktop, allowing users to ask natural language questions about their health and activity data from Garmin Connect.-
- AlicenseBqualityAmaintenanceEnables users to analyze their own Garmin Connect data—activities, sleep, HRV, Body Battery, training readiness—directly inside Claude Desktop.132MIT
- FlicenseNot gradedqualityBmaintenanceConnects Claude Desktop to your Garmin Connect running data stored locally in SQLite, enabling querying, syncing, and AI analysis of fitness activities.1-
- FlicenseAqualityBmaintenanceExposes your Garmin Connect data (activities, sleep, recovery, training status) to Claude in read-only mode.7-
- 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
- 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.96MIT
TDQS
Scored across 10 tools
Each tool maps to a distinct analytical question: readiness verdict, aggregate recovery, single-day detail, trend, load, activity digest, intensity split, single-workout analysis, VO2max history, and sync. Overlapping data sources are explicitly scoped in the descriptions, so an agent can reliably pick the right one.
Nine of ten tools follow the uniform get_<domain> pattern, and the one exception (sync_garmin) is a clearly distinct imperative action. There is no mixing of naming styles or vague generic verbs.
Ten tools is a well-scoped number for a running/recovery analytics server. Each tool covers a distinct data-retrieval concern and none feels redundant or unnecessary.
The surface thoroughly covers retrospective training and recovery analysis: readiness, load, trends, activities, intensity, and single-workout details. The main gap is forward-looking coaching functionality such as workout prescription or race prediction, but the stated analytics workflows are essentially complete.