Mirobody
Lab results to LOINC codes and UCUM units, symptoms and diagnoses to ICPC-3. Offline, no API key.
Description from the maker (original English)
Talk to your own fitness data. Findings computed in code against your own 28-day baselines.
These three are never merged into one score: opinions, measurements and popularity are different things.
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_PASSWORD, ANTHROPIC_API_KEYValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
Which app do you use?
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": {
"trainbud": {
"command": "npx",
"args": [
"-y",
"trainbud",
"start"
],
"env": {
"GARMIN_EMAIL": "your-value",
"GARMIN_PASSWORD": "your-value",
"ANTHROPIC_API_KEY": "your-value"
}
}
}
}Run this in your terminal
claude mcp add trainbud --env GARMIN_EMAIL=your-value --env GARMIN_PASSWORD=your-value --env ANTHROPIC_API_KEY=your-value -- npx -y trainbud startFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"trainbud": {
"command": "npx",
"args": [
"-y",
"trainbud",
"start"
],
"env": {
"GARMIN_EMAIL": "your-value",
"GARMIN_PASSWORD": "your-value",
"ANTHROPIC_API_KEY": "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": {
"trainbud": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"trainbud",
"start"
],
"env": {
"GARMIN_EMAIL": "your-value",
"GARMIN_PASSWORD": "your-value",
"ANTHROPIC_API_KEY": "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.
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 7, 2026
The registry name was verified with the GitHub account Zsadigzade, 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, ANTHROPIC_API_KEY
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 (0.9.0) reached the registry 2 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, Docker on your computer.
In the same category: Mirobody, FHIR MCP Server, Google Health MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Lab results to LOINC codes and UCUM units, symptoms and diagnoses to ICPC-3. Offline, no API key.
MCP server providing seamless access to FHIR APIs for AI tools and healthcare applications
Privacy-first unofficial Google Health API v4 MCP server for health, sleep, activity, HR agents
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.
Talk to your training data.
TrainBud is an open-source MCP server that connects your Garmin Connect fitness data to Claude, Cursor, and other AI assistants. Ask about workouts, sleep, heart rate, recovery, and body composition in plain English — privately, on your machine.
Disclaimer: TrainBud is an unofficial community project. It is not affiliated with, endorsed by, or sponsored by Garmin Ltd. Garmin Connect is a trademark of Garmin Ltd.
Once connected to your MCP client, ask things like:
See examples/prompts.md for more ideas.
.env; data is cached on your machine.trainbud/npx trainbud setup
The setup wizard walks you through credentials, authentication, and connecting Cursor or Claude Desktop — no MCP config editing required. Then restart your MCP client and ask it what you did today.
To keep trainbud on your PATH instead of typing npx every time:
npm install -g trainbud
trainbud setup
Needs Node 22.12+. Full walkthrough: QUICKSTART.md
From source (for contributors, or to run an unreleased commit)
git clone https://github.com/Zsadigzade/trainbud.git
cd trainbud npm install npm run build npm link # puts trainbud on your PATH; undo with npm unlink -g trainbud trainbud setup
Without npm link, every trainbud in this README is node dist/index.js run from the repo root. If dist/ does not exist yet, run npm run build first.
Install as a Claude Code plugin — skills and MCP server in one step:
/plugin marketplace add Zsadigzade/trainbud
/plugin install trainbud@trainbud
Set credentials, then restart Claude Code:
export GARMIN_EMAIL="your@email.com"
export GARMIN_PASSWORD="yourpassword"
| Command | What it does |
|---|---|
/trainbud:trainbud-setup | First-time setup and diagnostics |
/trainbud:trainbud | Ask about workouts, sleep, recovery, HR, stress, VO2 max |
Plugin files live in plugin/. See plugin/README.md.
This repo also ships project skills in .claude/skills/ for development without installing the plugin:
| Command | What it does |
|---|---|
/trainbud-setup | Install, authenticate, configure MCP, run live check |
/trainbud | Ask about workouts, sleep, recovery, HR, stress, VO2 max |
Open the repo in Claude Code (claude in this directory) — skills load automatically.
To use skills in every project without the plugin, copy them to ~/.claude/skills/.
After setup, restart your MCP client and try /trainbud with *"What did I do today?"*
trainbud serve hosts a dashboard at /dashboard. It is phone-first, because the pairing flow is: you are standing next to the watch holding a phone when you approve a code.
It shows what stands out today against your own baselines, this week against last week, and resting heart rate and sleep plotted against your own 30-day median — all read from the local history store, so it paints instantly and works even when your Connect session has expired. A break in a line is a day with no measurement, not a zero.
It is also where you tell TrainBud who it is talking to:
| Setting | What it changes |
|---|---|
| Name, units, primary sport, weekly goal | Every renderer, and what the AI is told about you |
| Thresholds | Where green becomes amber and amber becomes red — on the watch too |
| Watch cards | Which cards appear on the wrist and in what order, live on the next sync |
| AI model, tone, answer length | How the Ask card and the daily insight sound |
| Your own Ask questions | Up to five, 32 characters each. They lead the watch's Ask menu; the rest of the slots stay generated from what fired |
| Monthly spending cap | Optional. Refuses an Ask past the cap instead of spending past it |
| Privacy | Local feature counters, on by default, with a delete button |
Usage. TrainBud runs on your own AI provider key, so every question and every daily insight is charged to you. The dashboard shows the tokens and cost per call, the month to date, and a 30-day chart. A model this build has no published price for is recorded with its cost left *unknown* rather than as zero — a call priced at zero would make a cap that can never trip.
Nothing on this page leaves your machine. There is no endpoint to send it to.
View recovery, sleep, activity, stress, and VO2 max on your Garmin watch via a Connect IQ widget in ciq/.
Requires: trainbud serve running + HTTPS tunnel (same setup as web AI).
trainbud serve
cloudflared tunnel --url http://127.0.0.1:3847
2. Build and sideload the widget — see [ciq/README.md](./ciq/README.md)
https://abc.trycloudflare.com)/dashboard?token=YOUR_API_KEY) to complete setup. The dashboard swaps that token for a session cookie and drops it from the URL, so the address bar is safe to screenshot afterwards.The glance shows recovery and sleep, or the top finding in a few characters ("RHR +4 bpm"), from the last cached summary, so it renders without waiting on the network; once that is more than two hours old it says so. Open it and tap or swipe to cycle through the cards you left switched on in the dashboard. The watch calls GET /api/watch — a compact JSON summary, not the full MCP protocol.
On the Today card, START (or tap) opens a finding to the rule it fired on — "Each of the last 3 days was at least 3 bpm and 2 deviations above your 28-day median of 48 bpm" — and from there it can be muted for three days (POST /api/mute). The Sleep card names what moved last night against your own nights ("Deep 40m (1h24m)"). On the Forerunner 55, whose widget has 64 KB, those two are compiled out so the rest still fits.
Every finding fires on a rule you can see and move. The dashboard's Detector rules section holds the bars — resting HR days/bpm/deviations, sleep-debt hours, HRV drop, the training-load ratios, and "several signals together" (resting HR up, HRV down and sleep stress up at once) — bounded so no setting makes every day, or no day, a finding. Every surface shows the rule a finding fired on, with the numbers that were in force.
/voice)Hold a button on your phone, ask a question out loud, hear the answer read back. Open https://YOUR-HOST/voice?token=YOUR_API_KEY once; it trades the key for a cookie and redirects to a clean URL.
whisper-large-v3-turbo, about $0.04 per hour of audio). Add the key on the dashboard.Not a watch feature and it cannot be one: Connect IQ exposes no microphone or speaker to a widget. Not hands-free either — mobile browsers suspend the microphone when the tab is backgrounded, so the phone has to be awake with the page in front of you.
Full detail: docs/VOICE.md
/voice and the watch, without babysitting a terminal)trainbud serve in a terminal lasts until the terminal closes. To have the server and the tunnel come back by themselves after a reboot:
.\scripts\install-always-on.ps1 -Hostname trainbud.example.com
That registers a scheduled task for the server and a watchdog that checks both halves every five minutes — because a tunnel that answers is not a server that answers: a tunnel with nothing behind it serves its own error page under a 200, so the link looks alive while the watch reports HTTP -400. systemd, launchd and Docker Compose recipes are in the guide.
Full detail, including Cloudflare named tunnels: docs/ALWAYS-ON.md
Edit claude_desktop_config.json:
Windows: %APPDATA%\Claude\claude_desktop_config.json macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
{
"mcpServers": { "trainbud": { "command": "node", "args": ["C:/path/to/trainbud/dist/index.js", "start"], "env": { "GARMIN_EMAIL": "your@email.com", "GARMIN_PASSWORD": "yourpassword" } } } }
With trainbud on your PATH (npm install -g trainbud, or npm link from a clone), point the client at the command instead of a path:
{
"mcpServers": { "trainbud": { "command": "trainbud", "args": ["start"] } } }
Restart your MCP client, then start asking questions.
| Tool | What it answers |
|---|---|
get_latest_activity | Your most recent workout — distance, pace, HR, elevation |
get_activities_range | Activities between two dates |
get_sleep_data | Sleep duration, stages, score, awakenings — and which parts of last night were unusual for you |
get_heart_rate_trends | Resting, max, and average HR over time |
get_recovery_status | Recovery score from HRV, sleep, stress, resting HR |
get_body_composition | Weight, body fat, and muscle mass trends |
get_stress_levels | Daily stress averages and trends |
get_vo2_max_trends | VO2 max fitness trends over time |
get_training_insights | Combined weekly summary (activities, sleep, recovery, stress) |
get_findings | What stands out against your own 28-day baselines, with the rule each finding fired on |
get_week_review | This week against last, the load forecast, sleep debt, and your next race |
compare_workouts | One workout against your own earlier efforts of the same type and distance |
remember_context | Record a goal, a race and its date, an injury, or a note |
get_user_context | What is on record about you, on any date |
log_subjective | How a session actually felt — RPE, soreness, mood |
trainbud setup # Interactive first-time setup (recommended)
trainbud serve # Remote HTTP
Only the beginning is shown; read the rest in the repo