Garmin Open MCP
Related Servers
Alternatives to Garmin Open MCP
No user-submitted related servers found.
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
- AlicenseAqualityBmaintenanceA Model Context Protocol (MCP) server for Garmin Connect integration. Access your activities, health data, training metrics, and more through Claude and other LLMs.2262MIT
- AlicenseNot gradedqualityCmaintenanceMCP server to interact with Garmin Connect, enabling retrieval of health, activity, and device data through natural language.63MIT
- FlicenseAqualityDmaintenanceMCP server that connects AI assistants to Garmin Connect health and fitness data, enabling natural language queries about workouts, sleep, heart rate, and more.29-
- AlicenseAqualityBmaintenanceMCP server for reading and querying Garmin Connect data, including activities, strength history, recovery, trends, and optionally creating workouts.12MIT
- 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
TDQS
Scored across 11 tools
Each tool targets a distinct resource or operation: connection status, sync, day summary, sleep, activities list/get, training status, body metrics, trends, period comparison, and recent overview. Even the cached-data tools are clearly separated by their analytical purpose.
All tools follow a consistent garmin_ prefix with a verb_noun structure (check, sync, get, list). The naming pattern is uniform and predictable, making it easy to infer what each tool does.
At 11 tools, the server is well-scoped for a health-data integration. It covers core data access, activity management, analytics, and connection handling without unnecessary bloat or gaps.
The surface covers major Garmin data domains: daily summary, sleep, activities, body metrics, training status, and cached data analysis. Minor gaps exist (e.g., no explicit hydration or intraday detail endpoints), but the core workflows are complete.