Garmin MCP

Name: Garmin MCP
Author: endurancetools

by endurancetoolsversion 0.5.0i★ –iRuns on your computer

Registry nameio.github.endurancetools/garmin-mcp

Install

Overview

Description from the maker (original English)

Unofficial Garmin Connect server: training load, form, HRV readiness and workouts for your watch

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: GARMIN_DATA_DIR, GARMIN_REGION, GARMIN_ENABLE_DESTRUCTIVE

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "garmin": {
      "command": "npx",
      "args": [
        "-y",
        "garmin-mcp-server"
      ],
      "env": {
        "GARMIN_DATA_DIR": "your-value",
        "GARMIN_REGION": "your-value",
        "GARMIN_ENABLE_DESTRUCTIVE": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add garmin --env GARMIN_DATA_DIR=your-value --env GARMIN_REGION=your-value --env GARMIN_ENABLE_DESTRUCTIVE=your-value -- npx -y garmin-mcp-server

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "garmin": {
      "command": "npx",
      "args": [
        "-y",
        "garmin-mcp-server"
      ],
      "env": {
        "GARMIN_DATA_DIR": "your-value",
        "GARMIN_REGION": "your-value",
        "GARMIN_ENABLE_DESTRUCTIVE": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "garmin": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "garmin-mcp-server"
      ],
      "env": {
        "GARMIN_DATA_DIR": "your-value",
        "GARMIN_REGION": "your-value",
        "GARMIN_ENABLE_DESTRUCTIVE": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

GARMIN_DATA_DIR env
Tokens and database directory (default ~/.garmin-mcp)
GARMIN_REGION env
global or cn
GARMIN_ENABLE_DESTRUCTIVE env
true registers delete tools

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account endurancetools, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

More stars than 0% of the other 18433 servers in this category
Published to the registry more recently than 83% of the other 18433 servers in this category
Basic checks equal to or better than 100% of the other 18433 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Garmin MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.5.0) reached the registry 8 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, MyGroceryPal

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Garmin MCP

Ask your AI assistant how your training is really going. Garmin MCP is an unofficial, open-source MCP server for your Garmin Connect data: training load, form and morning readiness computed on your machine with methods from published sports-science literature, with citations; 21 tools designed around the questions athletes ask, not a mirror of Garmin's API; a local SQLite cache that downloads only what a question needs; and structured workouts that go from the answer to your Garmin calendar and watch. It also reads activities, health, sleep, training status, body composition, gear, devices and the workout library.

Works with Claude Code, Claude Desktop, Codex, Antigravity CLI, opencode and any other MCP client (stdio or streamable HTTP).

Documentation: [endurancetools.github.io/garmin-mcp](https://endurancetools.github.io/garmin-mcp/) (getting started per client, what to ask, configuration, troubleshooting). Contributing and development: DEVELOPMENT.md.

Unofficial. Garmin and Garmin Connect are trademarks of Garmin Ltd. or its subsidiaries; this project is not affiliated with or endorsed by Garmin. The training analytics (get_load, get_readiness) are training information, not medical advice.

Why Garmin MCP

Answers you can check. Training load (TSS from power, pace, heart rate or session RPE), fitness, fatigue and form (CTL/ATL/TSB), ACWR, intensity distribution and morning readiness from your own HRV, resting heart rate, sleep and load against your own baselines, with methods from published sports-science literature, with citations. Every answer returns the values and rules it used, and you can change them. Methods and evidence
Designed tools, not an API mirror. 21 tools built around questions like "review my week" or "can I train hard today?", so one call answers one question. The whole tool list costs the model about 8,600 tokens of context, and the first tool call was the right one in 48 of 48 tool-selection scenarios. Designed tools
Local and private. You sign in on Garmin's own page, so your password never passes through the tool. What it downloads stays in a local database on your computer, answers come back from it in milliseconds, downloads are paced to stay gentle with Garmin, and tool answers go only to the AI client you connect. What is stored where
From answer to watch. Ask for "6×400 m with 90 s rest on Thursday": you see the steps and estimated duration first, nothing is saved until you agree, and then it goes to your Garmin calendar and syncs to the watch. Workouts and calendar

Getting started

Requirements: Node.js 22 or newer, a Garmin Connect account, and Chrome, Edge, Brave or Chromium for the sign-in window (there is a terminal fallback).

1. Sign in once. This opens Garmin's own sign-in page in your browser. Your password never passes through the tool; only the tokens Garmin issues are stored, in ~/.garmin-mcp.

npx -y garmin-mcp-cli login

2. Add the server to your client.

Client	Configuration
Claude Code	`claude mcp add garmin -- npx -y garmin-mcp-server`
Claude Desktop	install `garmin-mcp- .mcpb` from the GitHub release, or add to `claude_desktop_config.json`: `{"mcpServers":{"garmin":{"command":"npx","args":["-y","garmin-mcp-server"]}}}`
Codex	`~/.codex/config.toml`: `[mcp_servers.garmin]` `command = "npx"` `args = ["-y", "garmin-mcp-server"]`
Antigravity CLI	`agy mcp add garmin npx -y garmin-mcp-server`
opencode	`opencode.json`: `{"mcp":{"garmin":{"type":"local","command":["npx","-y","garmin-mcp-server"],"enabled":true}}}`
Any other client	command `npx`, arguments `-y garmin-mcp-server`, transport stdio

3. Ask. Nothing is downloaded until a question needs it. For example:

"How did I sleep this week?" or "How did my HRV trend over the summer?"
"Review my training week" or "Summarise my block from 2026-08-04 to 2026-09-28"
"Am I fatigued? What is my form right now?"
"When is my next race?" or "What is planned this week?"
"Build me 6×400 m with 90 s rest for Thursday" (you see the steps first, nothing is saved until you agree)
"Rename activity 21001 to Parkrun PB"

Optional: pre-load a range so the first questions answer instantly.

npx -y garmin-mcp-cli sync --scope all --from 2026-07-01 --to 2026-09-30

How it fetches data

Logging in and starting the server download nothing. When a question needs days that are not in the local database, the tool downloads exactly that range, waits up to 20 s and answers; anything left keeps downloading in the background and the answer says so (meta.source is partial). Everything downloaded stays in the local database: stored days are never downloaded again unless you pass --force, so repeating a question costs nothing.

To stay gentle with Garmin, long ranges go in 7-day chunks, newest first, with a random 1-11 s pause after each chunk that actually downloaded something, at most 600 requests per day. A 429 or a Cloudflare challenge pauses all downloads for 6 h. An interrupted sync continues where it left off.

With GARMIN_AUTO_FETCH=false nothing is downloaded unless you run garmin sync or the garmin_sync tool; read tools then return the missing range in meta.sync_hint and the model asks you first.

Measured on a real account after a 90-day sync (433 requests in about an hour): answers come from the local database in 1-110 ms.

Tools

Tool	Purpose
`get_activities`	dense activity list with cursor paging (GAP, cadence, NP, Training Effect label, temperature when downloaded); `type` takes a Garmin type key (all keys in `garmin://activity-types`), plus `name`, `min_duration_min`/`max_duration_min` and a `pace` range
`get_activity`	one activity: `summary` (with running dynamics, breathing, stamina, HR source), `splits` (laps with dynamics and workout steps), `hr_zones`, `power_zones`, `weather`, `exercise_sets` (strength sets), `stream_summary` (stream per km, 5 min, half or quarter), or `full` (all sections plus the raw stream, 50 KB pages, optional `metrics` and `downsample_s`)
`update_activity`	name, type, description, RPE, feel
`download_activity_file`	FIT (unzipped), GPX, TCX, KML, CSV to the download directory (`GARMIN_FIT_DOWNLOAD_DIR`)
`query_health`	steps (with daily distance), resting HR (with daily min/max HR), HRV (with status and baseline), sleep, stress, body battery, respiration, SpO2, intensity minutes, calories (burned, and eaten when a food log is linked), floors; per day or week, with 7/28-day trends
`get_sleep`	one night with stages, or a range with averages
`get_training_status`	VO2max, readiness, recovery time, Garmin status, load and load focus, `garmin_load_model` (CTL/ATL/TSB from Garmin's training load, optionally the daily series); race predictions, endurance/hill score, fitness age, personal records, acclimation
`get_body_composition`	weigh-ins in kg with trend
`get_period_summary`	week, month or any `from`..`to` range up to 366 days: volume per sport, HR zones, rest days, longest/hardest, `garmin_load_model` at the end, health and energy averages
`list_workouts`, `get_workout`	workout library, scheduled workouts, races and events from the calendar in any date range (default: next 60 days), readable steps
`create_workout`, `schedule_workouts`	workouts from presets (run intervals, walk/run, easy Z2, strength circuit) or a typed definition (nestable repeats, HR/pace/power targets); `create_workout` with `dry_run: true` shows the steps and estimated duration without saving; `schedule_workouts` puts workouts on the calendar and takes them off again
`get_gear`, `get_devices`	gear with distance, devices with last sync and settings
`garmin_sync`	explicit download of a scope (all/activities/health/training/reference) and date range, with progress notifications
`get_load`	own load model (TSS per activity from power, pace, heart rate or RPE, with the thresholds valid on each date): CTL/ATL/TSB, ACWR 7:28, monotony and strain, flags with overridable thresholds, ISO weeks per sport, 3-zone intensity split; optional daily series, per-activity TSS/IF/load source/EF and running dynamics, monthly EF trend, monthly running dynamics at a reference pace
`compare_activities`	sessions side by side (`ids`), or the ones similar to an activity (`similar_to`: same type, duration and pace, optionally same route or easy only): pace, GAP, HR, power, EF, decoupling, TSS, dynamics, weather
`get_readiness`	morning GO / MODIFY / REST from HRV, resting HR, sleep hours and load, with Garmin's Training Readiness, Body Battery, stress and sleep score shown, not counted; overridable `rules`, every signal with value, reference and rating
`get_thresholds`, `set_threshold`	threshold history per date (LTHR per sport, LT1, HRmax, FTP, VO2max...; Garmin profile changes recorded automatically), heart rate and power zones per sport from the Garmin profile, and recording a test result, locally only

delete_activity, delete_workout, delete_weigh_in and overwriting a saved workout (create_workout with workout_id) are only available with GARMIN_ENABLE_DESTRUCTIVE=true.

Resources: garmin://profile, garmin://gear, garmin://devices, garmin://activity-types, garmin://sync-status, and the templates garmin://activity/{id} and garmin://workout/{id} with id completion. Prompts: weekly_review, plan_next_week.

Every response is { data, meta: { source: cache|live|partial|local, fetched_at, coverage?, sync_hint? } }, as JSON text and as structuredContent matching the tool's outputSchema; failures are { error: { code, message, hint } }.

Formulas, defaults and limits of the analytics tools: docs/analytics.md. Which Garmin Connect data is covered, and what is still missing: docs/coverage.md.

CLI

garmin-mcp-cli shares the core with the server and is handy for setup and checks:

garmin login [--strategy auto|browser|curl|fetch] [--email] [--token-path]

garmin import-tokens # garmin_tokens.json from python-garminconnect 0.3.x garmin status [--json] garmin sync [--scope ...] [--from --to] [--force] [--pause ] # default: last 7 days garmin activities [--from --to --type --limit --json] garmin health [--from --to --week --json] garmin load [--from --to] [--source auto|hrtss|garmin_load] [--flags ] [--series] [--activities] [--efficiency] [--by-sport] [--json] garmin readiness [date] [--rules ] [--json] # GO / MODIFY / REST for the morning garmin thresholds [--date --param --history --json] # LTHR, LT1, HRmax ... in effect, per sport garmin thresholds add [--source test|manual] [--note] garmin thresholds export [--out ] # date,param,value,source,note garm

Only the beginning is shown; read the rest in the repo

Garmin MCP

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

MyGroceryPal

README from the maker

Garmin MCP

Why Garmin MCP

Getting started

How it fetches data

Tools

CLI