Garmin Health MCP Server
Related Servers
Alternatives to Garmin Health MCP Server
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
- FlicenseNot gradedqualityCmaintenanceConnects Garmin watch data to Claude Desktop, allowing users to ask natural language questions about their health and activity data from Garmin Connect.-
- 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
- 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
- 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.28132 PyPI1MIT
- FlicenseAqualityBmaintenanceExposes your Garmin Connect data (activities, sleep, recovery, training status) to Claude in read-only mode.7-
TDQS
Scored across 9 tools
Each tool has a clearly distinct purpose targeting specific health metrics or functions, with no overlap in scope. The tools cover different data types like activities, body battery, heart rate, HRV, sleep, stress, summaries, and profiles, making them easily distinguishable.
All tools follow a consistent verb_noun pattern with 'get_' or 'generate_' prefixes, using snake_case uniformly. This predictable naming scheme enhances readability and reduces confusion for agents.
With 9 tools, the server is well-scoped for a health data domain, covering key metrics without being overwhelming. Each tool serves a specific, necessary function, making the count appropriate for comprehensive health monitoring.
The toolset provides broad coverage for retrieving health metrics, including core data like activities, sleep, and stress, with a summary tool for aggregation. A minor gap exists in update or management tools for user data, but retrieval operations are largely complete for the domain.