garmin-givemydata
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Related Servers
- AlicenseNot gradedqualityCmaintenanceA local MCP server that exposes your Garmin Connect data—sleep, HRV, training readiness, workouts, and more—to any MCP-compatible AI assistant. Runs entirely on your machine and keeps your Garmin credentials private.MIT
- FlicenseNot gradedqualityAmaintenanceEnables AI assistants to retrieve and analyze Garmin Connect health data, including daily summaries, sleep, HRV, workouts, and raw FIT files, while also supporting SQL queries on the underlying database.8-
- AlicenseAqualityAmaintenanceArchives Garmin Connect health data locally (steps, HR, sleep, body battery) as JSON, no cloud, and also pulls context data (weather, pollen, air quality). Built-in MCP server (with SQLite cache) exposes the archive for querying via LLM tool calls.722GPL 3.0
- AlicenseNot gradedqualityAmaintenanceMCP server that mirrors your Garmin data into a personal database and exposes tools for health summaries, training load, muscle readiness, and race analysis, with optional chat-driven insights via stdio or HTTP.1MIT
- FlicenseNot gradedqualityBmaintenanceExposes Garmin Connect health data (steps, sleep, HR, HRV, stress, activities, etc.) as tools for MCP-compatible clients like Claude.-
- AlicenseNot gradedqualityDmaintenanceExposes personal Garmin wellness data through MCP tools for accessing summary, sleep, HRV, heart rate, stress, body battery, and historical data.MIT
TDQS
Scored across 48 tools
Many tools have clearly distinct purposes, but significant overlap exists among metric-specific tools (e.g., garmin_heart_rate vs garmin_hrv vs garmin_hr_zones; garmin_body_battery vs garmin_stress vs garmin_respiration). The presence of catch-all tools like garmin_query and garmin_health_summary alongside specialized ones increases ambiguity about when to use which.
All tools follow a consistent snake_case pattern with the 'garmin_' prefix, making names predictable and easy to recognize as a cohesive set.
48 tools is excessive for a personal health data server, likely overwhelming an agent and causing selection confusion. While the domain is broad, the surface is bloated with many highly specific metrics that could be consolidated.
The toolset covers nearly every Garmin Connect data type: activities, sleep, stress, body battery, training metrics, nutrition, gear, and more. Some gaps remain (e.g., no explicit write/update operations, but those may be out of scope for a read-only client), but overall coverage is extensive.