Garmin Workout Pipeline
БесплатноНе проверенEnables building and uploading structured workouts to Garmin Connect using YAML or natural language, supporting running, cycling, and strength with zones and ci
Описание
Enables building and uploading structured workouts to Garmin Connect using YAML or natural language, supporting running, cycling, and strength with zones and circuits.
README
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.
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 [email protected]
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 [email protected] \
-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": "[email protected]",
"GARMIN_PASSWORD": "your-password"
}
}
}
}
All 24 MCP Tools
| 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 |
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
Установить Garmin Workout Pipeline в Claude Desktop, Claude Code, Cursor
unyly install garmin-workout-pipelineСтавит в Claude Desktop, Claude Code, Cursor и VS Code — сам разбирается с npx, uvx и сборкой из исходников.
Впервые? Поставь CLI: curl -fsSL https://unyly.org/install | sh
Или настроить вручную
Выполни в терминале:
claude mcp add garmin-workout-pipeline -- uvx --from git+https://github.com/k-schmidt/Garmin-Workout-Pipeline garmin-workout-pipelineFAQ
Garmin Workout Pipeline MCP бесплатный?
Да, Garmin Workout Pipeline MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Garmin Workout Pipeline?
Нет, Garmin Workout Pipeline работает без API-ключей и переменных окружения.
Garmin Workout Pipeline — hosted или self-hosted?
Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.
Как установить Garmin Workout Pipeline в Claude Desktop, Claude Code или Cursor?
Открой Garmin Workout Pipeline на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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