garmin-coach-mcp

garmin-coach-mcp

MCP server for reading and querying Garmin Connect data, including activities, strength history, recovery, trends, and optionally creating workouts.

Category
Visit Server

README

garmin-coach-mcp

An MCP server that lets Claude read and answer questions about your Garmin Connect data — recent activities, per-set strength history, sleep and recovery, and simple trends — and optionally build workouts back onto your watch.

It runs two ways from the same code:

Mode Transport Where Use it for
Local stdio Your PC, launched on demand by Claude Code Day-to-day work at your desk
Hosted streamable HTTP Azure Container Apps Asking from your phone, PC switched off

Local mode is the default. Nothing listens on a socket and no secret is involved — the server is a subprocess Claude Code owns. Hosted mode is opt-in via GARMIN_COACH_TRANSPORT=http and refuses to start without a shared secret.

Note: This uses python-garminconnect, which talks to Garmin's unofficial API. It works well for personal use but isn't sanctioned by Garmin and can break if Garmin changes their backend.

Layout

├── src/garmin_coach_mcp/     the server
│   ├── server.py             tool definitions + transport selection
│   ├── config.py             environment-driven settings
│   ├── http_app.py           hosted transport + shared-secret gate
│   ├── garmin_client.py      cached, token-authenticated Garmin client
│   ├── analysis.py           strength-history and trend computations
│   ├── strength_workout.py   Garmin workout payload builder
│   └── login.py              one-time interactive Garmin login
├── infra/                    Bicep for the hosted deployment
├── tests/                    secret-gate and config tests
├── docs/
│   ├── local-setup.md        run it on your PC
│   ├── remote-setup.md       deploy it to Azure with Microsoft sign-in
│   └── architecture.md       design decisions and what was learned deploying it
├── scripts/check_secrets.py  pre-commit credential scanner
└── .env.example              every setting, documented

Your own data stays out of the repo. .gitignore excludes .azure/ (which holds live secrets), the Garmin token, and docs/body-composition/ + training/ if you keep personal records alongside the code. Run python scripts/check_secrets.py before publishing, or enable it as a hook with git config core.hooksPath .githooks.

Tools

Read (9)

Tool What it answers
garmin_status Is the connection working? Whose account?
list_activities(limit, activity_type) "Show my last N workouts"
get_activity(activity_id) Detailed metrics for one activity
get_exercise_sets(activity_id) Per-set exercise / reps / weight / est. 1RM
get_strength_history(exercise_name, weeks) "Is my squat going up?"
get_recovery(date) Sleep + daily stats + training readiness
get_trends(metric, weeks, sample_days) Resting HR, steps, stress over time
suggest_next_weight(exercise_name, ...) Progressive-overload recommendation
list_workouts(limit) Saved workouts (name + id)

Write (3) — set GARMIN_COACH_READONLY=1 to drop these from the manifest entirely.

Tool What it does
create_strength_workout(name, exercises, schedule_date) Build a strength workout on Garmin (experimental)
schedule_workout(workout_id, date) Put an existing workout on your calendar
delete_workout(workout_id) Undo / remove a workout

Strength answers only have data if you log Strength activities with weights on your watch. create_strength_workout uses Garmin's unofficial workout schema — check the result in the Garmin Connect app and delete_workout if it's wrong.

Quick start (local)

cd C:\Projects\garmin-coach-mcp
python -m venv .venv
.\.venv\Scripts\python.exe -m pip install -e .
.\.venv\Scripts\garmin-coach-login.exe          # one time, caches a token
claude mcp add garmin-coach -s user -- C:\Projects\garmin-coach-mcp\.venv\Scripts\python.exe -m garmin_coach_mcp.server

Full walkthrough: docs/local-setup.md.

Quick start (hosted)

azd env new garmin-coach --subscription <id> --location westus2
azd env set MCP_SECRET (python -c "import secrets; print(secrets.token_urlsafe(32))")
azd up

Then seed the Garmin token onto the file share and add the connector. Full walkthrough: docs/remote-setup.md.

Configuration

Variable Default Meaning
GARMIN_COACH_TRANSPORT stdio stdio or http
GARMIN_COACH_SECRET Required for http. Minimum 32 chars
GARMIN_COACH_HOST 0.0.0.0 HTTP bind address
GARMIN_COACH_PORT 8080 HTTP port
GARMIN_COACH_READONLY off Hide the three write tools
GARMINTOKENS ~/.garminconnect Where the Garmin OAuth token lives
GARMIN_COACH_ALLOWED_HOSTS localhost only Host headers the MCP SDK will accept
GARMIN_COACH_TENANT_ID Entra tenant issuing tokens
GARMIN_COACH_CLIENT_ID Entra app ID; required audience on tokens
GARMIN_COACH_ALLOWED_OIDS Object IDs permitted to call the server
GARMIN_COACH_PUBLIC_URL This server's public URL, for RFC 9728 metadata

The last four are all-or-nothing: set together they enable Microsoft sign-in; set partially the server refuses to start rather than advertising an auth flow that can't issue usable tokens.

Tests

.\.venv\Scripts\python.exe tests\test_http_gate.py

These cover the shared-secret gate — the only thing between the public internet and your Garmin account when hosted — plus the configuration guards that stop the server starting in an unsafe combination.

Troubleshooting

  • garmin_not_authenticated — run garmin-coach-login (token missing or expired). Hosted: re-run it locally, then re-upload the token to the file share.
  • Server not connecting locally — confirm the venv path in claude mcp list; the command must point at .venv\Scripts\python.exe.
  • No strength data — the workout must be logged as a Strength activity with weights on the watch for get_exercise_sets / get_strength_history to return anything.
  • Hosted returns 404 for everything — the secret in the URL doesn't match GARMIN_COACH_SECRET. A wrong secret is deliberately indistinguishable from a wrong path.

Recommended Servers

playwright-mcp

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.

Official
Featured
TypeScript
Magic Component Platform (MCP)

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.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

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.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

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.

Official
Featured
TypeScript
Kagi MCP Server

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.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

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.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured