Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Manage Garmin Connect workouts, including strength workouts with mapped exercises.
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We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
GARMIN_EMAIL, GARMIN_PASSWORDValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"garmin-workouts": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"GARMIN_EMAIL",
"-e",
"GARMIN_PASSWORD",
"ghcr.io/pranciskus/garmin-workouts-mcp:0.1.2"
],
"env": {
"GARMIN_EMAIL": "your-value",
"GARMIN_PASSWORD": "your-value"
}
}
}
}Run this in your terminal
claude mcp add garmin-workouts --env GARMIN_EMAIL=your-value --env GARMIN_PASSWORD=your-value -- docker run -i --rm -e GARMIN_EMAIL -e GARMIN_PASSWORD ghcr.io/pranciskus/garmin-workouts-mcp:0.1.2Fill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"garmin-workouts": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"GARMIN_EMAIL",
"-e",
"GARMIN_PASSWORD",
"ghcr.io/pranciskus/garmin-workouts-mcp:0.1.2"
],
"env": {
"GARMIN_EMAIL": "your-value",
"GARMIN_PASSWORD": "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.
Paste into .vscode/mcp.json in your project
{
"servers": {
"garmin-workouts": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"GARMIN_EMAIL",
"-e",
"GARMIN_PASSWORD",
"ghcr.io/pranciskus/garmin-workouts-mcp:0.1.2"
],
"env": {
"GARMIN_EMAIL": "your-value",
"GARMIN_PASSWORD": "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.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account pranciskus, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
You need to fill in: GARMIN_EMAIL, GARMIN_PASSWORD
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).
The GitHub repo last changed –, and the latest version (0.1.2) reached the registry 8 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Docker on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, VMware Storage
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
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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-workouts-mcp is a standalone MCP server for Garmin Connect workouts.
It is intended as a focused extension for workflows that need a bit more structure around Garmin workout payloads, especially strength training.
This project is packaged as a stdio MCP server and can be published as an OCI image for MCP registries and Glama deployment. It is not a standalone public HTTP MCP endpoint.
reps end conditions.preview_workout_payload so payloads can be inspected before upload.validate_workout for early schema and mapping errors.resolve_supported_strength_exercise for quick mapping checks.get_workout_input_schema for machine-readable client integration.walking as a supported sport type, which is also reflected in the prompt/schema.Garmin-backed tools authenticate lazily when they are called:
GARMIN_EMAIL and GARMIN_PASSWORDThe server can start without credentials. Tools that do not talk to Garmin, such as payload preview and schema inspection, still work without secrets.
The upload and preview tools accept a JSON object shaped like this:
{
"name": "Upper Day", "type": "strength", "steps": [ { "stepType": "warmup", "endConditionType": "lap.button", "stepDescription": "General warm-up" }, { "stepType": "interval", "exercise": "incline db press", "endConditionType": "reps", "stepReps": 8, "stepDescription": "8-10 reps" }, { "stepType": "rest", "endConditionType": "time", "stepDuration": 120 } ] }
For strength exercises, either pass a friendly alias:
{ "exercise": "t bar row" }
or explicit Garmin enums:
{
"exercise": { "category": "ROW", "exerciseName": "T_BAR_ROW" } }
You can also inspect the accepted structure programmatically through get_workout_input_schema, or resolve likely Garmin strength mappings with resolve_supported_strength_exercise.
Run tests in Docker Compose:
docker compose run --rm tests
Build the runtime image:
docker build -t garmin-workouts-mcp:local .
Smoke test the stdio server startup without Garmin credentials:
python - <<'PY'
import subprocess
proc = subprocess.Popen( ["bash", "-lc", "tail -f /dev/null | docker run --rm -i garmin-workouts-mcp:local"] ) try: proc.wait(timeout=5) print(f"container exited early with code {proc.returncode}") finally: if proc.poll() is None: proc.terminate() proc.wait() print("container stayed up for 5 seconds") PY
The intended OCI image location is:
ghcr.io/pranciskus/garmin-workouts-mcp
Registry metadata lives in server.json. The OCI image carries the required label:
io.modelcontextprotocol.server.name=io.github.pranciskus/garmin-workouts-mcp
Glama ownership metadata lives in glama.json. It declares the GitHub maintainer account that can claim and manage the Glama listing.