garmin-mcp

garmin-mcp

Personal MCP server for interacting with your Garmin Connect data. Exposes 62 tools across 11 domains including activities, health, training, and workouts.

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garmin-mcp

Personal MCP server for interacting with your Garmin Connect data.

Exposes 62 tools across 11 domains — activities, health, body composition, training, workouts, nutrition, profile, extras, stats, write, and workout write — via the Model Context Protocol over stdio transport. Works with Claude Desktop, VS Code / GitHub Copilot, Cursor, OpenCode, and any other MCP-compatible AI client.

Python License CI


Security & credentials

Read this before you do anything else.

Your Garmin email and password are used exactly once — during the one-time garmin-mcp-auth setup step — to authenticate with Garmin's servers over HTTPS. They are never written to disk, never logged, and never stored anywhere by this software.

What is stored afterward is a small OAuth token file managed by the garminconnect library:

~/.garminconnect/<user_id>/garmin_tokens.json

That file contains exactly three fields:

Field What it is
di_token Short-lived access token
di_refresh_token Refresh token
di_client_id Garmin client identifier

No email address. No password. No display name. No health data. The file lives outside your project folder and cannot accidentally be committed to git.

This repo contains no hardcoded credentials, no telemetry, and no outbound network calls except directly to Garmin Connect's own servers.


Requirements

  • Python 3.11+
  • uv package manager
  • A Garmin Connect account

Setup

1. Install uv

# macOS / Linux
curl -LsSf https://astral.sh/uv/install.sh | sh

# Windows (PowerShell)
(Invoke-WebRequest -Uri https://astral.sh/uv/install.ps1 -UseBasicParsing).Content | powershell -c -

2. Clone and install dependencies

git clone https://github.com/gabecorsini/garmin-mcp.git
cd garmin-mcp
uv sync

3. Authenticate with Garmin Connect (one-time)

uv run garmin-mcp-auth

You will be prompted for your Garmin email, password, and MFA code (if enabled). Tokens are saved to ~/.garminconnect/<user_id>/garmin_tokens.json and refreshed automatically on subsequent runs.

4. Verify the server starts

uv run python -m garmin_mcp

You should see: [garmin-mcp] Connected to Garmin Connect as: <your display name>

Press Ctrl+C to stop.


MCP client configuration

Replace /absolute/path/to/garmin-mcp (or the Windows equivalent) with the actual path to your cloned repo in every snippet below.

Claude Desktop

Config file locations:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
{
  "mcpServers": {
    "garmin": {
      "command": "uv",
      "args": [
        "run",
        "--directory",
        "/absolute/path/to/garmin-mcp",
        "python",
        "-m",
        "garmin_mcp"
      ]
    }
  }
}

VS Code / GitHub Copilot

VS Code uses a different key ("servers", not "mcpServers").

Workspace config — create .vscode/mcp.json in your project:

{
  "servers": {
    "garmin": {
      "type": "stdio",
      "command": "uv",
      "args": [
        "run",
        "--directory",
        "/absolute/path/to/garmin-mcp",
        "python",
        "-m",
        "garmin_mcp"
      ]
    }
  }
}

User profile config — open the Command Palette, run MCP: Open User Configuration, and add the same block.

Cursor

Global config file: ~/.cursor/mcp.json
Project-level config file: .cursor/mcp.json

{
  "mcpServers": {
    "garmin": {
      "command": "uv",
      "args": [
        "run",
        "--directory",
        "/absolute/path/to/garmin-mcp",
        "python",
        "-m",
        "garmin_mcp"
      ]
    }
  }
}

OpenCode

Config file: ~/.config/opencode/opencode.json

OpenCode requires the command to be an array (not a string + args object). Use the full path to your uv executable.

{
  "mcpServers": {
    "garmin": {
      "command": [
        "/path/to/uv",
        "run",
        "--directory",
        "/absolute/path/to/garmin-mcp",
        "python",
        "-m",
        "garmin_mcp"
      ]
    }
  }
}

Find your uv path with which uv (macOS/Linux) or (Get-Command uv).Source (Windows PowerShell).


OpenCode agent

A ready-made agent definition is provided at agents/garmin.md. Copy it to your OpenCode agents folder:

# macOS / Linux
cp agents/garmin.md ~/.config/opencode/agents/garmin.md

# Windows (PowerShell)
Copy-Item agents\garmin.md "$env:USERPROFILE\.config\opencode\agents\garmin.md"

Once installed, OpenCode will load the Garmin-specific context and guidance automatically when you start a conversation with the garmin agent. The agent knows all 62 tool names, understands when data might not be available (older devices, non-running activities, etc.), and provides examples for common queries.


Available tools

Activities (9)

Tool Description
get_activities Recent activities with pagination and optional type filter
get_activity_detail Full detail for a specific activity by ID
get_activity_hr_zones HR zone breakdown for an activity
get_activities_by_date Activities within a date range
get_activity_splits Per-split pace and HR data
get_activity_typed_splits Typed splits (auto laps, manual laps, intervals)
get_personal_records All-time personal records
get_activity_count Total activity count
get_last_activity Most recent activity summary

Health & Wellness (13)

Tool Description
get_sleep_data Sleep stages, score, SpO2, respiration
get_hrv_data HRV nightly average, status, and baseline
get_daily_stress Stress level breakdown by day
get_body_battery Body Battery charged/drained over a date range
get_daily_steps Step counts and goals over a date range
get_heart_rate Daily HR summary (resting, min, max, avg)
get_resting_heart_rate Resting heart rate trend over a date range
get_respiration_data Breathing rate summary
get_spo2_data Blood oxygen saturation
get_intensity_minutes Moderate and vigorous intensity minutes
get_floors Floors climbed
get_hydration Daily hydration log
get_daily_summary Overall daily wellness summary

Body Composition (3)

Tool Description
get_body_composition Weight, BMI, body fat, muscle mass
get_weight_history Weight log entries over a date range
get_weight_stats Aggregated weight stats (avg / min / max)

Training & Performance (8)

Tool Description
get_training_status Productive / Maintaining / Overreaching status
get_training_readiness 0–100 readiness score with contributing factors
get_vo2max VO2 max estimate and fitness age
get_race_predictions Predicted 5K / 10K / half marathon / marathon times
get_hill_score Hill climbing efficiency score
get_endurance_score Aerobic endurance score
get_running_tolerance Running load tolerance and injury risk signal
get_fitness_stats Aggregate training load and aerobic/anaerobic effect

Workouts (2)

Tool Description
get_workouts Saved workout library
get_workout_detail Full workout definition with steps and targets

Nutrition (3)

Tool Description
get_nutrition_summary Daily macro and calorie totals
get_food_logs Individual food log entries by meal
get_nutrition_settings Configured nutrition goals

Profile & Devices (7)

Tool Description
get_user_profile Account profile info
get_user_settings Unit preferences and HR zone definitions
get_devices All registered Garmin devices
get_device_settings Settings for a specific device
get_gear Registered gear (shoes, bikes, etc.)
get_earned_badges Earned badges and achievements
get_primary_training_device Primary training device info

Extras (6)

Tool Description
get_activity_exercise_sets Exercise sets for a strength training activity
get_activity_weather Weather conditions recorded during an activity
get_body_battery_events Body Battery charge and drain events for a day
get_morning_training_readiness Morning Report readiness score
get_lactate_threshold Lactate threshold HR, pace, and power
get_fitnessage_data Garmin Fitness Age for a specific date

Stats (5)

Tool Description
get_weekly_steps Weekly step count totals over a number of weeks
get_weekly_stress Weekly average stress levels over a number of weeks
get_goals Active, completed, or archived Garmin Connect goals
get_progress_summary Aggregated training progress by metric over a date range
get_cycling_ftp Current cycling Functional Threshold Power (FTP) estimate

Write — Health (3)

Tool Description
log_weight Log a body weight measurement
log_hydration Log a water intake entry
upload_activity Upload a FIT, TCX, or GPX activity file

Write — Workouts (3)

Tool Description
create_workout Create a structured workout in the Garmin library
schedule_workout Schedule a saved workout onto a calendar date
delete_workout Delete a workout from the library

Notes

  • Unofficial API: This server uses the reverse-engineered Garmin Connect API via python-garminconnect (MIT) and garmin-health-data (Apache 2.0). Garmin does not provide an official public API. Use at your own risk.
  • Garmin ToS: Automated access to Garmin Connect is a gray area. This tool is intended for personal, non-commercial use only. Do not use it in ways that could disrupt Garmin's services.
  • Rate limits: Garmin may throttle or block excessive API calls. Avoid tight loops over large date ranges.
  • Token refresh: Tokens are refreshed automatically. If authentication fails after an extended period, re-run garmin-mcp-auth.
  • Data availability: Not all tools return data for all devices or activity types. Metrics like VO2 max, race predictions, lactate threshold, and HRV require a compatible Garmin device (e.g. Forerunner, Fenix, Venu series).
  • Not supported: The Lifestyle Journal (mood, energy, symptoms, menstrual cycle logging) is not exposed by any known API endpoint in python-garminconnect and cannot currently be read or written by this server.

License

MIT — Gabe Corsini, 2026

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