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garmin-connect-api

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Read and write Garmin Connect from Claude, Python or HTTP: activities, strength sets, health data, workouts, weigh-ins. MCP server.

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Last scanned: 10/20/2026
Install in Claude Code / Claude Desktop
Method: UVX (Python) · garmin
Claude Code CLI
claude mcp add garmin-connect-api -- uvx garmin
claude_desktop_config.json (Claude Desktop)
{
  "mcpServers": {
    "garmin-connect-api": {
      "command": "uvx",
      "args": ["garmin"]
    }
  }
}
1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
2. Replace any <placeholder> values with your API keys or paths.
3. Restart Claude. The MCP server and its tools appear automatically.
Use cases

MCP Servers overview

# garmin-connect-api

Read and write Garmin Connect from an MCP client such as Claude, from Python, or over a local HTTP
API: activities with per-set strength detail, daily health data, planned workouts, completed
strength sessions, and weigh-ins with full body composition.

<!-- mcp-name: io.github.happyc0der/garmin-connect-api -->

> **Unofficial.** Not affiliated with or endorsed by Garmin. It uses the same private endpoints as
> the Garmin Connect website, through [python-garminconnect](https://github.com/cyberjunky/python-garminconnect),
> because Garmin offers no public API for individuals. Those endpoints can change without notice,
> and using them is not sanctioned by Garmin's terms. It is meant for your own account and your
> own data.

## Status

v0.3. Reads activities with per-set strength detail, laps and pool-swim lengths, daily health,
trends over up to two years and named personal records; writes strength, run, ride and swim
workouts, completed strength sessions, set corrections and weigh-ins with body composition. 38
tools, every one checked against a real account. Bug reports and feature requests go to
[GitHub Issues](https://github.com/happyc0der/garmin-connect-api/issues).

## Quick start

You need [uv](https://docs.astral.sh/uv/) and Python 3.12 or newer.

**1. Log in once**, at a terminal:

```bash
uvx --from garmin-connect-api garmin login
```

This is the only place a password is ever typed. It asks for your Garmin email, password and any
multi-factor code, then stores tokens in `~/.garmin-api/default`, readable by your user only.
Nothing else ever prompts for a password; without tokens, every tool says to run this.

**2. Add the server to your MCP client.**

Claude Code:

```bash
claude mcp add --scope user --transport stdio garmin -- uvx garmin-connect-api@latest
```

Claude Desktop, in `claude_desktop_config.json` (in `~/Library/Application Support/Claude/` on
macOS, `%APPDATA%\Claude\` on Windows):

```json
{
  "mcpServers": {
    "garmin": {
      "command": "uvx",
      "args": ["garmin-connect-api@latest"]
    }
  }
}
```

`@latest` makes uvx check for a new release each time the server starts. Without it, uvx keeps
running the first version it downloaded.

**3. Ask.** "How did I sleep this week?", "Did my pace hold up in yesterday's swim?",
"How has my resting heart rate moved since summer?", "Show my last strength session's sets, and
change sets 3 to 5 to dumbbell rows", "Schedule a swim for Thursday: 200 easy, then 8 x 100 free
on 20 seconds rest, in a 25-yard pool".

## What it can do

38 tools, each annotated so your client knows which only read (24), which add something (8) and
which delete or overwrite (6), and can ask before running those. Every argument, down to a
workout step's pace target, carries a description.

| Read | Write |
| --- | --- |
| Activities, filtered by type and date | Create a strength workout, schedule it, push it to a watch |
| Per-set strength detail: exercise, reps, weight | Create a run, ride or pool swim workout, with targets |
| Laps for runs and rides; pace per 100 for pool swims | Log a completed strength session, with every set |
| A day in one answer: steps, heart rate, stress, body battery, sleep, HRV, readiness | Correct a session's sets: exercise, reps, weight |
| Trends over up to two years: twelve metrics, daily, weekly or monthly | Record a weigh-in, or a full body composition reading |
| Personal records, named and in units | Rename an activity or change its description |
| Every weigh-in with body composition | Delete an activity, workout or weigh-in |
| Planned workouts and the calendar | |
| Garmin's 1,527-exercise catalogue, offline | |

Four tools are written for a model rather than mirrored from an endpoint: `garmin_status` checks
the login without calling Garmin, `find_exercise` finds Garmin's name for a lift, and
`recent_strength_sessions` and `week_summary` answer common questions in one call.

**Logging a finished workout** is the write Garmin's own developer programme has never offered. A
session is encoded as a FIT activity file with set messages and uploaded, so it appears in Garmin
Connect as a Strength Training activity, exercise by exercise.

**Body composition** from a smart scale (fat, water, skeletal muscle, bone, BMI, basal metabolic
rate, visceral fat) is written as a FIT weight-scale file, the way Garmin's own Index scales do it.
A plain weigh-in carries weight alone.

## Example output

Answers come back compact, summarised the way a person would read them. These are from made-up
data in the shapes Garmin returns.

"Did my pace hold up in yesterday's swim?" calls `get_activity_laps`:

```json
{
  "sport": "lap_swimming",
  "pool_length": 25.0,
  "pool_unit": "m",
  "summary": {
    "lengths": 80,
    "distance": 2000.0,
    "average_pace": "1:52/100m",
    "first_half_pace": "1:50/100m",
    "second_half_pace": "1:54/100m",
    "by_stroke": {"FREESTYLE": 1800.0, "BACKSTROKE": 200.0},
    "fastest_segment": {"lengths": "5-8", "pace": "1:44/100m"},
    "slowest_segment": {"lengths": "77-80", "pace": "2:01/100m"}
  }
}
```

"How has my resting heart rate moved since summer?" calls `get_trend`, which rolls a long range
into weeks:

```json
{
  "metric": "resting_hr",
  "unit": "bpm",
  "aggregation": "week",
  "summary": {
    "days_with_data": 88,
    "average": 54.2,
    "min": 49.0,
    "max": 61.0,
    "first_period_average": 57.3,
    "last_period_average": 51.6,
    "change": -5.7
  }
}
```

## Before you write anything

- **Activities you log may be shared automatically.** If your Garmin account is connected to Strava
  or another app, an uploaded session can be posted there too, and deleting it from Garmin does not
  delete it there.
- **Rate limits are taken seriously.** Garmin puts Cloudflare and per-account rate limits in front
  of its login, and a run of failed logins can lock an account out for a day or more. Nothing here
  retries a login, and a rate limit stops every call path rather than being retried. If you see
  one, wait.
- **Exercises need Garmin's own names**, such as `BENCH_PRESS` / `BARBELL_BENCH_PRESS`. Every write
  but the raw workout DTO checks them against the catalogue first and suggests near misses, so a
  typo fails with a useful message rather than Garmin's bare 400. Common gym names work in search:
  "rdl", "ohp", "pull ups", "bench presses".
- **To correct a logged session, edit its sets.** Logging it again with a set changed creates a
  second activity; logging the identical session again is reported as a duplicate.
- **Sessions and body-composition readings need a timezone offset**, or a 7am reading would land
  hours out. They are refused without one.

## Command line

```bash
garmin doctor                          # setup check, no network
garmin activities --type strength_training --limit 5
garmin sets <activity-id>              # per-set detail
garmin day 2026-10-18                  # one day of health data
garmin exercises "lat pulldown"        # search the catalogue, offline
garmin workout create workout.json     # plan a strength workout
garmin log-session session.json        # log a completed one
garmin encode-session session.json     # build its FIT file without uploading
garmin decode-fit activity.zip         # read sets out of a Garmin export
garmin serve                           # the HTTP API on 127.0.0.1:8765
```

Run them with `uvx --from garmin-connect-api garmin ...`, or install with
`uv tool install garmin-connect-api`. Example specs:
[session.json](https://github.com/happyc0der/garmin-connect-api/blob/main/examples/session.json),
[workout.json](https://github.com/happyc0der/garmin-connect-api/blob/main/examples/workout.json).

An encoded session file can also be imported by hand on the Garmin Connect website, if you would
rather nothing logged in on your behalf.

## Python library

```python
from datetime import datetime, timedelta, timezone
from garmin_api.services import activities, health, uploads
from garmin_api.models.workouts import (
    StrengthSessionSpec, StrengthSessionExercise, StrengthSessionSet,
)

for activity in activities.list_activities(limit=5, activity_type="strength_training"):
    sets = activities.get_sets(activity.activity_id)
    print(activity.name, sets.total_volume_kg, "kg")

print(health.day("2026-10-18").steps)

uploads.log_strength_session(StrengthSessionSpec(
    name="Push A",
    start_time=datetime(2026, 10, 18, 7, 0, tzinfo=timezone(timedelta(hours=-4))),
    exercises=[StrengthSessionExercise(
        category="BENCH_PRESS",
        exercise_name="BARBELL_BENCH_PRESS",
        sets=[StrengthSessionSet(reps=10, weight_kg=60.0, rest_s=120)],
    )],
))
```

Responses are pydantic models with Garmin's inconsistencies ironed out: kilograms rather than
grams, timezone-aware instants, snake_case throughout. Garmin's own payload is still on `raw` when
something is not mapped.

## HTTP API

`garmin serve` runs the same API on `127.0.0.1:8765`, with interactive docs at `/docs`. The MCP
tools are generated from these routes, so the two cannot drift apart. Because it can write to your
account, the service refuses writes from web pages open in your browser and requests naming any
host but `localhost`, which defeats DNS rebinding. Binding beyond localhost requires
`GARMIN_API_KEY`, and the host name clients will use must be listed in `GARMIN_API_HOSTS`.
`garmin mcp --http` serves the MCP tools over HTTP behind the same guard.

## Configuration

| Variable | Purpose |
| --- | --- |
| `GARMINTOKENS` | Where tokens are stored. Defaults to `~/.garmin-api/default`. |
| `GARMIN_API_KEY` | Required to bind the HTTP service beyond localhost. |
| `GARMIN_API_HOSTS` | Extra host names the HTTP and MCP servers answer to, comma-separated. Needed for any name but localhost. |

## Docker

The `Dockerfile` builds the MCP server from a checkout. Tokens live in `/tokens` inside the
container; mount an existing directory there and run as your own user, 
fastapifitnessgarmingarmin-connecthealth-datamcpmcp-servermodel-context-protocolpythonstrength-training

What people ask about garmin-connect-api

What is happyc0der/garmin-connect-api?

+

happyc0der/garmin-connect-api is mcp servers for the Claude AI ecosystem. Read and write Garmin Connect from Claude, Python or HTTP: activities, strength sets, health data, workouts, weigh-ins. MCP server. It has 0 GitHub stars and its last recorded update is dated 2026-10-20.

How do I install garmin-connect-api?

+

You can install garmin-connect-api by cloning the repository (https://github.com/happyc0der/garmin-connect-api) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.

Is happyc0der/garmin-connect-api safe to use?

+

Our security agent has analyzed happyc0der/garmin-connect-api and assigned a Trust Score of 95/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.

Who maintains happyc0der/garmin-connect-api?

+

happyc0der/garmin-connect-api is maintained by happyc0der. The last recorded GitHub activity is dated 2026-10-20, with 0 open issues.

Are there alternatives to garmin-connect-api?

+

Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.

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