Personal Garmin MCP

A local MCP server for creating and scheduling structured workouts in Garmin Connect through unofficial Garmin endpoints.

This is an experimental personal project. Garmin may change the endpoints, rate-limit requests, or revoke a session without notice. Do not expose the server to the internet without adding separate authentication.

Features

• verifies a saved Garmin session;

• previews Garmin JSON without making changes;

• creates workouts and optionally adds them to the calendar;

• lists the workout library and calendar;

• reads completed activities, compact summaries, and lap/split metrics;

• reads available sleep, HRV, Body Battery, Training Readiness, and Training Status;

• deletes workouts and removes workouts from the calendar;

• supports running, cycling, walking, and hiking;

• supports time, distance, and lap button steps;

• supports interval repeats;

• supports pace, heart-rate, power, and cadence targets;

• requires confirm=true for every change.

Installation

Docker Compose — recommended

Local use requires Docker with Compose support. Build the image from the repository root:

docker compose build

The build installs Python dependencies with uv strictly from uv.lock.

Run the interactive login once. The password and MFA code are entered directly in the container and are not stored. OAuth tokens are saved in the private garmin-mcp_garmin_tokens named volume:

docker compose --profile login run --rm garmin-login

Start the MCP server:

docker compose up -d garmin-mcp
docker compose ps

The endpoint is available at http://127.0.0.1:8000/mcp. To use a different local port:

GARMIN_MCP_PORT=8765 docker compose up -d garmin-mcp

View logs or stop the server:

docker compose logs -f garmin-mcp
docker compose down

docker compose down preserves the Garmin tokens. Running docker compose down -v deletes the volume and its tokens.

Local installation without Docker

Python 3.12+ and uv are required.

cd /path/to/garmin-mcp
uv sync --extra dev

One-time login

uv run garmin-mcp-login

The script interactively requests an email address, password, and MFA code when required. The password is not stored. OAuth tokens are saved to .garmin-tokens/garmin_tokens.json with restricted permissions. The directory is already included in .gitignore.

To store tokens somewhere else:

export GARMIN_TOKEN_DIR=/safe/private/path/garmin-tokens
uv run garmin-mcp-login

Local MCP over stdio

export GARMIN_TOKEN_DIR=/safe/private/path/garmin-tokens
uv run garmin-mcp

Example MCP client configuration:

{
  "mcpServers": {
    "garmin": {
      "command": "/absolute/path/to/garmin-mcp/.venv/bin/garmin-mcp",
      "env": {
        "GARMIN_TOKEN_DIR": "/safe/private/path/garmin-tokens"
      }
    }
  }
}

Streamable HTTP for ChatGPT

export GARMIN_MCP_TRANSPORT=streamable-http
export GARMIN_MCP_HOST=127.0.0.1
export GARMIN_MCP_PORT=8000
export GARMIN_TOKEN_DIR=/safe/private/path/garmin-tokens
uv run garmin-mcp

Endpoint: http://127.0.0.1:8000/mcp.

ChatGPT must be able to reach the endpoint over HTTPS. A protected tunnel can be used for personal testing. Do not expose this MVP directly to the internet: it intentionally does not include a separate OAuth resource server for access to the MCP server itself.

Example preview_workout argument

{
  "workout": {
    "name": "6 x 800",
    "sport": "running",
    "description": "Controlled intervals",
    "blocks": [
      {
        "steps": [
          {
            "step_type": "warmup",
            "duration_type": "time",
            "duration_value": 900
          }
        ]
      },
      {
        "repeat": 6,
        "steps": [
          {
            "step_type": "interval",
            "duration_type": "distance",
            "duration_value": 800,
            "target_type": "pace_seconds_per_km",
            "target_low": 250,
            "target_high": 260
          },
          {
            "step_type": "recovery",
            "duration_type": "time",
            "duration_value": 120
          }
        ]
      },
      {
        "steps": [
          {
            "step_type": "cooldown",
            "duration_type": "time",
            "duration_value": 600
          }
        ]
      }
    ]
  }
}

Pace values are specified in seconds per kilometre: 250 = 4:10/km and 260 = 4:20/km. The server converts them to the m/s values used by Garmin Connect.

After previewing, call create_workout with the same object, a date in YYYY-MM-DD format, and confirm=true.

Read-only training context

The server exposes compact read-only tools for adapting future plans to completed work:

• list_activities lists activities in an inclusive date range, with an optional Garmin activity type filter;

• get_activity_summary returns planning metrics for one activity;

• get_activity_splits returns compact lap and interval metrics;

• get_recovery_status aggregates available sleep, HRV, Body Battery, Training Readiness, and Training Status for one date.

Activity responses intentionally omit GPS coordinates and owner details. Recovery metrics vary by Garmin device, account, and date. A missing source is returned as unavailable and does not make the entire recovery request fail.

Checks

uv run --extra dev pytest
uv run --extra dev ruff check .

Unit tests do not contact Garmin and do not require credentials.

Important limitations

• This is not an official Garmin Training API.

• Frequent logins may receive HTTP 429 responses; reuse saved tokens.

• Tokens provide access to Garmin Connect and must be protected like a password.

• If creation succeeds but scheduling fails, the tool returns created_not_scheduled and workout_id; the created workout remains in the library.

• Before regular use, test one simple workout in Garmin Connect and on the specific watch model.