Mirobody
Lab results to LOINC codes and UCUM units, symptoms and diagnoses to ICPC-3. Offline, no API key.
作者提供的说明(英文原文)
Talk to your own fitness data. Findings computed in code against your own 28-day baselines.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
GARMIN_EMAIL, GARMIN_PASSWORD, ANTHROPIC_API_KEY标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 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"
}
}
}
}在终端中运行这条命令
claude mcp add trainbud --env GARMIN_EMAIL=your-value --env GARMIN_PASSWORD=your-value --env ANTHROPIC_API_KEY=your-value -- npx -y trainbud start运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.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"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"trainbud": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"trainbud",
"start"
],
"env": {
"GARMIN_EMAIL": "your-value",
"GARMIN_PASSWORD": "your-value",
"ANTHROPIC_API_KEY": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日
注册名称已通过 GitHub 账户 Zsadigzade 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
你需要填写:GARMIN_EMAIL, GARMIN_PASSWORD, ANTHROPIC_API_KEY
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(0.9.0)于2个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js, Docker。
同一分类中有:Mirobody, FHIR MCP Server, Google Health MCP
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
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
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
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
只显示了开头部分;其余内容请在仓库中阅读