garmin-owl
Related Servers
Alternatives to garmin-owl
No user-submitted related servers found.
Related Servers
- AlicenseAqualityAmaintenanceEnables MCP-capable AI apps to query a user's own Garmin sleep, HRV, stress, Body Battery, heart-rate, activity, and body-metric data through Garmin's official Personal API in a read-only, locally run setup.14266 PyPI1MIT
- AlicenseCqualityBmaintenanceGives AI assistants local, read-only access to your Garmin Connect health and activity data using your normal account login. Enables querying and downloading roughly 260 kinds of data such as activities, sleep, heart rate, stress, body composition, and training metrics without ever modifying your account.62MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to access Garmin Connect fitness and health data, including activities, heart rate, sleep, and device information.MIT
- AlicenseNot gradedqualityCmaintenanceEnables LLMs and MCP clients to securely access your Garmin Connect health and running data, including daily wellness metrics, activity details, training status, and race predictions, for personalized coaching and analysis.MIT
- AlicenseNot gradedqualityAmaintenanceEnables local synchronization of Garmin activity and health data using a personal API key, then lets MCP-connected AI clients analyze training readiness and recovery with cited models and research. Supports viewing records, sleep/HRV, stress, Body Battery, and generating pre-run recommendations without hosting accounts or personal data.2MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI assistants to access and query personal health data from Garmin Connect and Technogym mywellness through a unified MCP endpoint.MIT
TDQS
Scored across 24 tools
Most tools have distinct targets and the descriptions explicitly route between detail, aggregate, and trend views. There is still meaningful overlap among get_daily_summary/get_recovery/get_training_context, get_activities/get_recent_activities/get_training_week, and get_daily_series/get_period_summary/get_recovery_trend, so some careful tool selection is needed.
Tool names consistently use snake_case and a predictable get_noun or verb_noun pattern, e.g. get_sleep, get_training_load, compare_activities. Minor variations like get_activities_detail are still clear and fit the overall convention.
The 24 tools cover a broad Garmin analytics domain, and many earn their place, but the count is heavy and sits at the upper end of the borderline range. Several tools provide convenience or composite views that could be consolidated for easier selection.
The surface covers daily health, sleep, HRV, recovery, readiness, Body Battery, stress, activities, training load, trends, cycle, and coverage checks, with good lifecycle support for a read-only analytics server. Minor gaps remain for some Garmin data families such as workouts/gear/hydration or dedicated respiration/SpO2 detail, but core workflows are covered.