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Garmin MCP Server

Connect Claude (or any MCP client) to your Garmin Connect data — activities, sleep, heart rate, body battery, and training status.

Python 3.10+ MIT License CI

What you can ask

  • "How did I sleep this week?"

  • "What was my average pace on my last 5 runs?"

  • "Is my resting heart rate trending down?"

  • "Should I train hard today based on my body battery?"

  • "Summarize my training status and VO2 max trend."

  • "What's my lactate threshold heart rate and pace right now?"

  • "What 10k time does Garmin predict for me?"

  • "What are my running personal records?"

  • "Has my threshold pace improved over the last three months?"

Related MCP server: Garmin MCP Server

Quick Start

1. One-time login

uvx --from git+https://github.com/Sinfjell/garmin-mcp garmin-mcp-auth

Prompts for your Garmin Connect email and password (or reads GARMIN_EMAIL / GARMIN_PASSWORD from the environment), handles MFA if your account uses it, and caches a session token locally so you won't be prompted again.

2. Add it to your MCP client

Claude Desktop — add to claude_desktop_config.json:

{
  "mcpServers": {
    "garmin": {
      "command": "uvx",
      "args": ["--from", "git+https://github.com/Sinfjell/garmin-mcp", "garmin-mcp"]
    }
  }
}

Claude Code:

claude mcp add garmin -- uvx --from git+https://github.com/Sinfjell/garmin-mcp garmin-mcp

Cursor — add to .cursor/mcp.json:

{
  "mcpServers": {
    "garmin": {
      "command": "uvx",
      "args": ["--from", "git+https://github.com/Sinfjell/garmin-mcp", "garmin-mcp"]
    }
  }
}

3. Ask a question

Restart your client and ask something like "How did I sleep last night?"

Tools

Tool

Returns

list_recent_activities(limit=10)

Recent activities: date, type, name, distance, duration, avg HR, pace

get_activity_details(activity_id)

Full detail for one activity, incl. explicit elapsed/timer/moving/stopped timing (stripped of bulky sample/GPS data)

get_activity_laps(activity_id, include_gps=False)

Per-lap breakdown: distance, durations, pace, HR, power, cadence, interval intensity (WARMUP/ACTIVE/REST)

list_activities_by_date(start_date, end_date)

Activity summaries in a date range

get_daily_stats(date)

Steps, calories, resting HR, stress for one day

get_sleep(date)

Sleep stages, sleep score, overnight HRV and resting HR

get_heart_rate(date)

Min/max/resting HR and 7-day average resting HR for one day

get_body_battery(start_date, end_date)

Body Battery charged/drained/highest/lowest per day

get_training_status(date)

Training status, load, VO2 max, heat/altitude acclimation

get_performance_metrics(date=None)

Running fitness/threshold snapshot: lactate threshold (LTHR + pace), VO2 max + fitness age, and 5k/10k/half/marathon race predictions

get_personal_records()

Personal records / PBs: fastest 1km/1mile/5km/10km, longest run (labeled), plus raw type/value for any other record

get_threshold_history(start_date, end_date, aggregation="weekly")

Lactate-threshold HR + pace as a dated trend series over a range

All dates are "YYYY-MM-DD". All tools return compact JSON.

Authentication

garmin-mcp-auth is the recommended way to log in — it supports MFA and caches a token so the server doesn't need your password on every run.

Environment variable alternative: set GARMIN_EMAIL and GARMIN_PASSWORD (see .env.example) and the server will log in non-interactively if no cached token is found. This does not support MFA — accounts with MFA enabled should use garmin-mcp-auth instead.

Token cache location: ~/.garminconnect by default, or the path in GARMIN_TOKENS if set.

Remote / hosted mode (use from Claude mobile & web)

By default this server speaks stdio and is meant to run as a local subprocess of your MCP client. You can instead run it as a long-lived HTTP service and add it to claude.ai as a custom connector, which also makes it reachable from Claude on mobile.

1. Log in once, on the host

garmin-mcp-auth

Run this on the machine that will host the server (interactively, so it can handle MFA). The cached token in ~/.garminconnect (or GARMIN_TOKENS) is reused on every request — the server does not log in again per request. Avoid triggering fresh logins often: Garmin rate-limits and sometimes blocks sign-ins from datacenter IPs, so a stable, long-lived cached session is the goal, not routine re-auth.

2. Run the server in streamable-http mode

garmin-mcp --transport streamable-http --host 127.0.0.1 --port 8765 --path /<random-secret>/mcp
  • --transport streamable-http switches from stdio to an HTTP endpoint.

  • --host / --port control what the server binds to (default 127.0.0.1:8765 — bind to 127.0.0.1 and put a reverse proxy in front rather than exposing the process directly).

  • --path sets the URL path the MCP endpoint mounts at (default /mcp). Set it to a long random value (e.g. /8f2c1a9e7b.../mcp) and treat it as a secret — see below.

3. Put TLS and a reverse proxy in front

This mode has no built-in authentication. The security model is:

  • The path is the secret. Anyone with the full URL — including the random path segment — can call every tool and read your Garmin data. Anyone without it gets a 404. This is possession-of-URL security, not real authentication — good enough for a personal deployment you control, not for anything shared or high-stakes.

  • TLS is required in practice. Run the server behind a reverse proxy (Caddy, nginx, Cloudflare Tunnel, etc.) that terminates HTTPS, so the secret path isn't sent in the clear. Point the proxy at 127.0.0.1:<port> and expose only the proxy's HTTPS URL.

  • Don't log the URL, commit it, or paste it anywhere public — it's effectively a credential.

4. Add it to claude.ai as a custom connector

In claude.ai: Settings → Connectors → Add custom connector, then paste your full HTTPS URL (e.g. https://mcp.example.com/8f2c1a9e7b.../mcp). Once added, it's available from Claude on web and mobile, not just Claude Code or Desktop.

5. Optional: serve several people from one process (multi-tenant)

A single hosted server can serve more than one Garmin account. Set GARMIN_MULTI_TENANT_ROOT to a directory of per-user token stores:

GARMIN_MULTI_TENANT_ROOT=/srv/garmin-tenants \
  garmin-mcp --transport streamable-http --port 8766 --path /u

Each subdirectory is one user's token store, and its name is the user ID that appears in that user's endpoint URL:

/srv/garmin-tenants/<user-id>/     ->  https://host/u/<user-id>/mcp
  • User IDs are 32–128 chars of [a-z0-9-] and must be generated randomly (≥128 bits). As in single-tenant hosting, possession of the URL is the authentication, so a guessable ID is a leaked account.

  • An unknown or malformed ID gets a 404. A request never falls back to another user's token store, and never to the GARMIN_EMAIL / GARMIN_PASSWORD environment credentials — those belong to the host, not to a tenant.

  • Requests are served statelessly, so a session cannot outlive the URL that created it.

  • Leaving GARMIN_MULTI_TENANT_ROOT unset changes nothing: the server runs exactly as it did before, single-tenant, on the --path you give it.

A token store can be populated by hand — run garmin-mcp-auth with GARMIN_TOKENS pointed at that user's directory — but the point of the onboarding app below is that nobody has to.

Stores hold a Garmin session token, never a password.

6. Optional: let people onboard themselves

GARMIN_MULTI_TENANT_ROOT=/srv/garmin-tenants \
GARMIN_CONNECTOR_BASE_URL=https://host.example.com \
  garmin-mcp-onboarding --port 8767

Put it behind the same reverse proxy. Someone opens the page, logs in with their own Garmin account (Garmin's one-time code included), and the page hands them their personal connector URL. Their token store is created for them; you are not involved.

The password is passed straight to Garmin and dropped from memory in the same call — it is never written to disk, never logged, and is not held across the one-time-code wait. The consent text on the first page says so, in Norwegian.

Expect the login itself to be slow, and sometimes blocked. Garmin treats datacenter IPs far more harshly than home connections. A single login attempt runs five strategies with 12–20s waits between them — a minute or two of real time — and from a hosted IP some or all of those strategies can come back 429 or with a Cloudflare challenge. Give the reverse proxy a generous proxy_read_timeout (300s), and don't add retries on top: garminconnect already backs off internally, so retrying just spends more attempts against an IP that is already refusing them.

Measured from both sides on 2026-08-11, same code and same throwaway account: a residential IP reached the credential check (401 Invalid Username or Password) in 27s, while the hosted IP got a Cloudflare 403 after 1m45s. The library and the flow are fine; the location of the login is the problem.

So when server-side login is blocked, move that one step to where it works:

# on their own machine, where the IP is fine and the password never leaves
garmin-mcp-auth

# on the host, with the ~/.garminconnect directory they send you
garmin-mcp-tenant import ./their-garminconnect
# -> Imported as 3f9a...  https://host.example.com/u/3f9a.../mcp

import copies (never moves), clamps the directory to 0700 and the token to 0600, mints the random ID, and prints the finished connector URL. No new unit, no nginx change — that is what multi-tenant hosting buys even when self-service can't complete.

To remove someone:

garmin-mcp-tenant list
garmin-mcp-tenant delete <user-id>

Their URL 404s immediately afterwards. Deletion is a command rather than a web endpoint deliberately: with possession-of-URL auth, a delete endpoint would let anyone who ever saw a URL wipe that person's access.

docs/e2e-onboarding.md has the full verification sequence.

Security & privacy

  • Your credentials never leave your machine and are never stored by this server — only a session token is cached locally.

  • This server is read-only: it never writes to, modifies, or deletes anything in Garmin Connect.

  • Nothing is sent anywhere except Garmin's own API — no third-party telemetry, analytics, or logging.

Troubleshooting

"Garmin authentication expired" / auth errors — run garmin-mcp-auth again to refresh your session.

Stuck in an MFA loop — make sure you're running garmin-mcp-auth interactively (not through a client that swallows stdin); the MFA code prompt needs a real terminal.

Wrong Python version — this package requires Python 3.10+. Check with python3 --version; uvx will otherwise fail to build the environment.

Disclaimer

This project uses the unofficial, community-maintained garminconnect library to talk to Garmin Connect. It is not affiliated with, endorsed by, or supported by Garmin. Garmin Connect's API is not public, and it can change or break without notice.

License

MIT — see LICENSE.

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