Garmin Workout Pipeline

Garmin Workout Pipeline

Enables building and uploading structured workouts to Garmin Connect using YAML or natural language, supporting running, cycling, and strength with zones and circuits.

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Garmin Workout Pipeline

PyPI License: MIT GitHub stars Python 3.10+

Stop clicking through Garmin Connect's UI to build every workout. Define workouts in YAML, or just tell Claude what you want in plain English — then push them straight to your watch.

Garmin Workout Pipeline is an open-source CLI and MCP server that compiles structured workout definitions into Garmin Connect API payloads. It supports running, cycling, and strength/cardio workouts with pace/HR/power zones, 84+ exercises, circuits, and weekly scheduling.

"Build me a Hyrox sim with 8 stations, 1km runs between each, and a 10-minute warmup."

That's a real prompt. The MCP server turns it into a fully structured Garmin workout and uploads it to your watch.

<p align="center"> <img src="assets/demo.gif" alt="MCP server demo — building a workout conversationally" width="800"> </p>


Why This Exists

If you've ever built a complex interval workout in Garmin Connect, you know the pain: endless dropdowns, no copy-paste, no version control, and good luck reusing that Hyrox sim you spent 15 minutes clicking together.

This tool lets you:

  • Write workouts as code — YAML files you can version, share, and iterate on
  • Build workouts conversationally — tell Claude what you want via MCP, and it handles the structure
  • Push to Garmin Connect in one command — from terminal to watch in seconds
  • Manage your training library — list, schedule, and delete workouts programmatically

Quickstart

# Install
pip install garmin-workout-pipeline

# Set credentials
export GARMIN_EMAIL=you@example.com
export GARMIN_PASSWORD=your-password

# Push a workout to your watch
gwp push workouts/templates/hyrox-sim.yaml --zones workouts/zones.yaml

That's it. Workout is on Garmin Connect, ready to sync to your device.


Two Ways to Build Workouts

1. YAML (version-controlled, repeatable)

name: "Threshold Intervals"
type: running

steps:
  - warmup: { duration: "10:00", zone: easy }
  - run: { distance: "1km", pace: { min: "6:25/mi", max: "6:40/mi" } }
  - recovery: { duration: "2:00" }
  - run: { duration: "5:00", zone: threshold }
  - cooldown: { duration: lap, zone: easy }

2. Natural Language via MCP (conversational, fast)

Connect the MCP server to Claude Desktop or Claude Code, then just describe what you want:

"Create a 5x1km workout at threshold pace with 2-minute recoveries, 10-minute warmup and cooldown"

Claude builds the structured workout, previews it, and uploads it — all through conversation.


MCP Server Setup

24 tools for full workout lifecycle management through any MCP-compatible client.

Claude Code

claude mcp add garmin-workouts \
  -e GARMIN_EMAIL=your-email@example.com \
  -e GARMIN_PASSWORD=your-password \
  -- garmin-mcp

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "garmin-workouts": {
      "command": "garmin-mcp",
      "env": {
        "GARMIN_EMAIL": "your-email@example.com",
        "GARMIN_PASSWORD": "your-password"
      }
    }
  }
}

<details> <summary><strong>All 24 MCP Tools</strong></summary>

Category Tools
Workout create_workout, get_workout, set_workout_name, clear_workout
Steps add_warmup, add_cooldown, add_run, add_bike, add_exercise, add_rest, add_recovery, remove_step
Circuits add_circuit, end_circuit
Garmin Connect preview_upload, upload_workout, list_workouts, delete_workout
Reference list_exercises, get_zones, validate_workout
Templates save_yaml, load_template, list_templates

</details>


CLI Reference

gwp push <file> --zones <zones.yaml>            # Upload workout to Garmin Connect
gwp push <file> --zones <zones.yaml> --schedule 2026-04-29  # Upload + schedule
gwp push <file> --zones <zones.yaml> --dry-run   # Preview JSON without uploading
gwp validate <file> --zones <zones.yaml>          # Compile and validate only
gwp list                                          # List workouts on Garmin Connect
gwp delete <workout-id>                           # Delete a workout
gwp zones --zones <zones.yaml>                    # Show resolved zone values

Workout Types

Running

Pace targets, HR zones, distance and time-based intervals.

name: "Speed 400s"
type: running
steps:
  - warmup: { duration: "10:00", zone: easy }
  - run: { distance: "400m", pace: { min: "5:30/mi", max: "5:45/mi" } }
  - recovery: { duration: "1:30" }
  - cooldown: { duration: "10:00", zone: easy }

Strength / Cardio

84 exercises with rep counts, weights, and circuit support.

name: "Hyrox Strength"
type: strength
steps:
  - warmup: { duration: lap, exercise: rowing_machine }
  - circuit:
      iterations: 4
      steps:
        - exercise: { exercise: wall_ball, reps: 20, weight: 13 }
        - exercise: { exercise: weighted_lunge, reps: 20, weight: 45 }
        - rest: { duration: "2:00" }
  - cooldown: { duration: lap, exercise: rowing_machine }

Cycling

Power zones, FTP percentages, and duration-based blocks.

name: "Sweet Spot"
type: cycling
steps:
  - warmup: { duration: "10:00", zone: z2 }
  - bike: { duration: "20:00", zone: threshold }
  - cooldown: { duration: "5:00" }

Step Types Reference

Type End Conditions Targets
warmup duration, lap zone, exercise
cooldown duration, lap zone, exercise
run duration, distance, lap zone, pace, hr
bike duration, distance, lap zone, power, power_pct
recovery duration, distance, lap zone
exercise duration, reps, lap
rest duration
circuit iterations nested steps

Zones

Define your training zones once in workouts/zones.yaml with HR, pace, and power targets per sport. The compiler resolves zone names like threshold, z2, and easy to Garmin API target values.


Installation Options

From PyPI (recommended)

pip install garmin-workout-pipeline

From GitHub

uv tool install git+https://github.com/k-schmidt/Garmin-Workout-Pipeline.git

From Source

curl -LsSf https://astral.sh/uv/install.sh | sh
git clone https://github.com/k-schmidt/Garmin-Workout-Pipeline.git
cd Garmin-Workout-Pipeline
uv sync

Project Structure

garmin_pipeline/
  mcp_server.py          # MCP server for Claude Desktop/Code
  cli.py                 # Click CLI (gwp command)
  compiler.py            # Workout model → Garmin API JSON
  exercises.py           # Exercise name → Garmin category/name registry
  loader.py              # YAML parser with !include support
  models.py              # Pydantic workout models
  sync.py                # Garmin Connect auth and upload
  zones.py               # Zone resolution (HR, pace, power)
workouts/
  zones.yaml             # Training zone definitions
  templates/             # Workout YAML files
tests/
  fixtures/              # Golden reference JSON
  test_compiler.py       # Compiler golden tests
  test_loader.py         # YAML loading and !include
  test_models.py         # Step parsing
  test_zones.py          # Zone resolution

Development

uv run pytest -v              # run tests
uv run ruff check . --fix     # lint
uv run ruff format .          # format

Contributing

Contributions welcome. Open an issue or submit a PR — whether it's a new exercise, a workout template, a bug fix, or documentation improvement.


License

MIT

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