garmin-mcp
Exposes Garmin Connect health and activity data (steps, sleep, heart rate, etc.) via MCP tools, with built-in login and MFA support.
README
garmin-mcp
MCP server that exposes Garmin Connect data (activities, steps, sleep, heart rate,
body battery, HRV, stress, etc.) as tools, backed by the
garminconnect library.
Setup
-
Copy
.env.exampleto.envand fill in your Garmin Connect credentials:cp .env.example .env -
Install dependencies (already done in
.venv):.venv/bin/pip install -e . -
Call the
logintool first, before any other tool. It reuses cached session tokens from~/.garminconnect(override withGARMIN_TOKEN_STORE) if present, otherwise logs in withGARMIN_EMAIL/GARMIN_PASSWORD. If your account has MFA enabled,loginreturnsstatus: "needs_mfa"— check your email/authenticator app for the code and callsubmit_mfa_codewith it to finish. After a successful login, tokens are cached so future runs skip login/MFA until they expire.
Running via Docker
A prebuilt image is published to Docker Hub as zwisler/garmin-mcp (built by the
.github/workflows/docker-publish.yml GitHub Actions workflow on every push to
main and on v* tags).
docker run -i --rm \
--env-file .env \
-v garmin-mcp-tokens:/data \
zwisler/garmin-mcp
-ikeeps stdin open — required, since MCP talks JSON-RPC over stdio.--env-file .envsuppliesGARMIN_EMAIL/GARMIN_PASSWORD.- The named volume persists cached session tokens (
GARMIN_TOKEN_STOREdefaults to/data/garminconnectinside the image) across container restarts, so you don't have to log in / do MFA every run.
To register this with Claude Code instead of the local venv, point .mcp.json at:
{
"mcpServers": {
"garmin-connect": {
"command": "docker",
"args": ["run", "-i", "--rm", "--env-file", ".env", "-v", "garmin-mcp-tokens:/data", "zwisler/garmin-mcp"]
}
}
}
Running via docker compose
docker-compose.yml builds from the local Dockerfile (falls back to pulling
zwisler/garmin-mcp if you skip build), reads .env, and persists tokens in a
named volume. Use run, not up — MCP is a one-shot stdio process per client
connection, not a long-running background service:
docker compose run --rm garmin-mcp
To register this with Claude Code, point .mcp.json at:
{
"mcpServers": {
"garmin-connect": {
"command": "docker",
"args": ["compose", "run", "--rm", "garmin-mcp"]
}
}
}
Building and pushing manually
docker build -t zwisler/garmin-mcp:latest .
docker push zwisler/garmin-mcp:latest
CI setup
The GitHub Actions workflow needs two repo secrets to push to Docker Hub:
DOCKERHUB_USERNAME— your Docker Hub usernameDOCKERHUB_TOKEN— a Docker Hub access token (Account Settings → Security → New Access Token), not your password
Registering with Claude Code
This repo includes a .mcp.json pointing at the venv's Python interpreter, so
Claude Code picks it up automatically when running from this directory.
To register manually elsewhere:
claude mcp add garmin-connect /Users/zwisler/PycharmProjects/garmin-mcp/.venv/bin/python /Users/zwisler/PycharmProjects/garmin-mcp/server.py
Available tools
login— call this firstsubmit_mfa_code(code)— only ifloginreturnedstatus: "needs_mfa"get_user_profileget_daily_summary(day)get_steps(day)get_heart_rate(day)get_sleep(day)get_body_battery(start_day, end_day)get_stress(day)get_hrv(day)get_body_composition(day)get_activities(limit, start)get_activities_by_date(start_day, end_day, activity_type)get_activity_details(activity_id)get_activity_splits(activity_id)get_race_predictionsget_training_readiness(day)get_respiration(day)get_spo2(day)get_devicesget_personal_records
All day parameters accept YYYY-MM-DD and default to today.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.