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MCP server to access Garmin data
| Date | Stars |
|---|---|
| 2026-07-31 | 873 |
| 2026-08-02 | 894 |
| 2026-08-06 | 894 |
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[](https://mseep.ai/app/taxuspt-garmin-mcp) # Garmin MCP Server This Model Context Protocol (MCP) server connects to Garmin Connect and exposes your fitness and health data to Claude and other MCP-compatible clients. Garmin's API is accessed via the awesome [python-garminconnect](https://github.com/cyberjunky/python-garminconnect) library. ## Features - List recent activities with pagination support - Get detailed activity information - Edit activities: name, type, description/notes, event type, perceived effort (RPE), and feel - Access health metrics (steps, heart rate, sleep, stress, respiration) - View body composition data - Track training status and readiness - Access cycling FTP and lactate threshold metrics - Manage gear and equipment - Access workouts and training plans - Inspect detailed workout step structures, including repeat groups and swim pace targets - Weekly health aggregates (steps, stress, intensity minutes) - Advanced cycling analytics: power zones, FIT file analysis, DI2 electronic shift intelligence - Training load trend (CTL/ATL/TSB), HRV trend, VO2 max trend, respiration rate trend - Power Duration Curve, climb detection with VAM, cardiac drift (aerobic decoupling), W/kg calculations ### Tool Coverage This MCP server implements **110+ tools** covering ~90% of the [python-garminconnect](https://github.com/cyberjunky/python-garminconnect) library (v0.3.2): - ✅ Activity Management (20 tools) - includes write tools for type, description, event type, perceived effort, and feel - ✅ Health & Wellness (31 tools) - includes custom lightweight summary tools - ✅ Training & Performance (13 tools) - includes CTL/ATL/TSB, HRV, VO2 max, and respiration trends - ✅ Workouts (8 tools) - ✅ Devices (7 tools) - ✅ Gear Management (5 tools) - ✅ Weight Tracking (5 tools) - ✅ Challenges & Badges (10 tools) - ✅ Nutrition (8 tools) - food logs, meals, custom foods, and food logging - ✅ Women's Health (3 tools) - ✅ User Profile (3 tools) - ✅ High-Level Workout Builders (4 tools) - create and schedule workouts without writing JSON - ✅ Courses (3 tools) - list / upload GPX as course / delete course - ✅ Activity Analysis (2 tools) - FIT file parsing, Power Duration Curve; requires power meter and/or Di2 - ✅ Activity File Downloads (2 tools) - download activity files in FIT, GPX, TCX, or CSV format > **Note:** Activity Analysis tools require a compatible power meter (e.g., Garmin Rally, Favero Assioma, PowerTap P1) and/or Shimano Di2 / SRAM eTap electronic shifting. The `fitparse` dependency is installed automatically. ### Activity File Downloads Two tools let you download a raw activity file to disk: - **`download_activity_file(activity_id, format="fit", output_dir=None)`** — downloads the activity and saves it to the configured directory. `format` accepts `fit` (default), `gpx`, `tcx`, or `csv`. - **`set_fit_download_dir(path)`** — sets and persists the default download directory (written to the config file). **Where files are saved (precedence):** 1. `output_dir` argument — one-off override, not persisted. 2. `GARMIN_FIT_DOWNLOAD_DIR` environment variable. 3. Persisted config set via `set_fit_download_dir`. **First-run behavior:** if no directory is configured, `download_activity_file` returns `status: "needs_setup"`. The assistant will ask where you want to save files (suggesting the current directory as default), call `set_fit_download_dir` to persist your choice, and then retry the download automatically. ### Intentionally Skipped Endpoints Some endpoints are not implemented due to performance or complexity considerations: **High Data Volume:** - `get_activity_details()` - Returns large GPS tracks and chart data (50KB-500KB). Use `get_activity()` for summaries instead. **Specialized Workout Formats:** - `upload_running_workout()`, `upload_cycling_workout()`, `upload_swimming_workout()` - Sport-specific workout uploads. Use
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Benoit Perigaud · dbt Labs · Spain
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:fd084e7becb4b615, desc:mcp server