garmin-connect-mcp
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Alternatives to garmin-connect-mcp
No user-submitted related servers found.
Related Servers
- AlicenseAqualityBmaintenanceA read-only MCP server that gives Claude Desktop access to your Garmin Connect data — daily health metrics, sleep, activities, training status, and body composition.6MIT
- 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-
- 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
- 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 gradedqualityDmaintenanceThis Model Context Protocol (MCP) server connects to Garmin Connect and exposes your fitness and health data to Claude and other MCP-compatible clients.1MIT
- AlicenseAqualityBmaintenanceLocal MCP server that connects Claude Desktop with Garmin and Apple Health data to read training and recovery, estimate heart rate and pace zones, analyze performance, and create structured workouts.22MIT
TDQS
Scored across 25 tools
Each tool targets a distinct health metric or activity aspect. The daily summary and individual metric tools are clearly separated by description, and activity tools (list, details, splits, last, on day) have distinct purposes. No two tools overlap in functionality.
All tool names follow a consistent verb_noun pattern using snake_case. Read operations use 'get_', 'list_', or 'show_', and write operations use 'log_', 'create_', or 'schedule_'. The pattern is predictable and easy to understand.
25 tools is on the higher end, but each covers a distinct aspect of Garmin Connect's health and fitness data. The count is justified by the breadth of metrics (daily summary, sleep, steps, HR, HRV, stress, body battery, etc.) and activity/workout management. A slight reduction could be possible if some convenience tools were merged, but they each earn their place.
The tool set covers the main user needs: viewing daily health metrics, activity history, workout planning, and logging weight and hydration. Missing are update/delete operations for activities or workouts, but these may be limited by the Garmin API. Overall, the surface is well-rounded and leaves few obvious gaps for typical queries.