garmin-connect-mcp
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Alternatives to garmin-connect-mcp
No user-submitted related servers found.
Related Servers
- FlicenseAqualityCmaintenanceA local MCP server that exposes Garmin Connect activity, health, and training data as tools for Claude Desktop. It provides read-only access to metrics like activities, sleep, heart rate, and training readiness.25-
- 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-
- AlicenseNot gradedqualityBmaintenanceThis MCP server exposes Garmin Connect health data—sleep, heart rate, HRV, stress, VO2max, and activities—to Claude through local tools, enabling natural language queries, data syncing, and statistical analysis like correlations and night-out detection.MIT
- AlicenseNot gradedqualityDmaintenanceAn MCP server that gives Claude access to your Garmin Connect fitness and health data, including steps, sleep, activities, heart rate, and more.1MIT
- AlicenseBqualityAmaintenanceAn MCP server that gives LLMs access to Garmin Connect data, including training, recovery, sleep, stress, VO2 Max, and running summaries for personalized fitness advice.151MIT
- AlicenseNot gradedqualityCmaintenanceMCP server that connects Garmin Connect data to Claude, enabling training analysis, recovery checks, and personalized plans based on real metrics like HRV, training load, and activities.21MIT
TDQS
Scored across 97 tools
Each tool targets a distinct data type or operation, with clear boundaries between single-date vs. range variants and composite vs. granular endpoints. The 97 tools cover separate aspects (activities, health metrics, gear, badges, etc.) without significant overlap.
All tools follow a consistent verb_noun pattern in snake_case (e.g., get_heart_rate, set_blood_pressure, delete_activity, count_activities). Only a minor deviation with 'count' instead of 'get', but overall the pattern is uniform and predictable.
97 tools is large, but it reflects the comprehensive nature of Garmin Connect's health and fitness data. Each tool serves a specific purpose, and avoiding redundant endpoints would sacrifice usability. The domain justifies the count, though it borders on being heavy.
The set covers virtually all major aspects of the Garmin Connect API: activity CRUD, detailed metrics, health and wellness data (HRV, sleep, stress, etc.), gear management, badges, challenges, training plans, and user settings. There are no obvious gaps that would hinder core workflows.