Garmin MCP Lite
Related Servers
Alternatives to Garmin MCP Lite
No user-submitted related servers found.
Related Servers
- FlicenseBqualityDmaintenanceA Model Context Protocol server that integrates Garmin Connect data with LLMs to provide personalized running analysis and training plans. It enables users to monitor performance metrics, manage training loads, and receive data-driven workout suggestions based on health indicators like VO2 Max and recovery status.435-
- AlicenseAqualityCmaintenanceA Model Context Protocol (MCP) server for Garmin Connect integration. Access your activities, health data, training metrics, and more through Claude and other LLMs.2265MIT
- 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.24424 PyPI1MIT
- AlicenseAqualityDmaintenanceA Model Context Protocol (MCP) server that provides comprehensive access to Garmin Connect data including sleep analytics, health metrics, activities, and training volume analysis.1667 npm8MIT
- AlicenseAqualityBmaintenanceMCP server that lets you ask questions about your Garmin training history in plain language. It ingests FIT files into DuckDB locally and exposes typed tools for analyzing activities, streams, and summaries.9MIT
- AlicenseAqualityBmaintenanceAn MCP server that transforms Garmin data into compact, verdict-first coaching reports for LLMs, computing metrics like CTL/ATL/TSB and ACWR to answer training readiness questions.14Apache 2.0
TDQS
Scored across 15 tools
Each tool targets a distinct data resource (activities, activity detail, zones, health, gear, events, challenges, coach, etc.), and the descriptions explicitly cross-reference related tools (zones ↔ activity_detail hrZones). Minor overlap exists between garmin_health (which returns resting HR under "steps"), garmin_hr_trend, and garmin_training_status (also surfaces recovery/readiness), so an agent could pick the wrong one when looking for heart-rate or readiness data.
Every tool follows the same `garmin_<resource>` snake_case pattern with no deviations or style mixing. Names are predictable enough that an agent can guess a tool's existence from its resource.
15 tools sits at the top of the well-scoped range but each maps to a genuinely distinct Garmin data domain, with no filler. The many-metric `garmin_health` tool is sensibly bundled rather than split into nine separate tools, keeping the surface compact.
The read-only surface covers the core Garmin lifecycle well: activities, activity detail, health, training status/plan, zones, PRs, gear, events, challenges, and device info. Gaps are mostly around write/action operations (no marking workouts complete, adjusting training plans, uploading or editing activities), which may be intentional for a "Lite" server but leaves some agent workflows as dead ends.