프로토타입 · 미리 보기: 공식 레지스트리의 모든 서버를 담고 있으며 30분마다 동기화해요. 리뷰와 계정 기능은 다음 단계에서 열려요.
PopNx MCPAI를 쓰는 사람을 위한 MCP 서버 · 쉬운 말로 설명해요

TrainBud

제작자: Zsadigzade버전 0.9.0i★ –i내 컴퓨터에서 실행
레지스트리 이름io.github.Zsadigzade/trainbud

설치

개요

제작자가 쓴 설명(영어 원문)

Talk to your own fitness data. Findings computed in code against your own 28-day baselines.

PopNx MCP의 세 기둥

이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.

할 수 있는 일

이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.

  • 연결 방식: 내 컴퓨터에서 실행
  • 전송 방식: stdio
  • 카테고리: 클리닉 및 건강
  • 입력해야 할 값: GARMIN_EMAIL, GARMIN_PASSWORD, ANTHROPIC_API_KEY

설치

쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.

설치하기 전에

  • 기본 점검: 1개 중 1개 통과
  • 내 컴퓨터에서 내 사용자 계정의 권한(파일, 네트워크, 앱)으로 실행돼요.
  • 직접 입력할 값: GARMIN_EMAIL, GARMIN_PASSWORD, ANTHROPIC_API_KEY

비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.

필요한 것

  • npmNode.js 설치(npx 명령어용)

어떤 앱을 쓰세요?

위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.

Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요

{
  "mcpServers": {
    "trainbud": {
      "command": "npx",
      "args": [
        "-y",
        "trainbud",
        "start"
      ],
      "env": {
        "GARMIN_EMAIL": "your-value",
        "GARMIN_PASSWORD": "your-value",
        "ANTHROPIC_API_KEY": "your-value"
      }
    }
  }
}

터미널에서 이 명령어를 실행하세요

claude mcp add trainbud --env GARMIN_EMAIL=your-value --env GARMIN_PASSWORD=your-value --env ANTHROPIC_API_KEY=your-value -- npx -y trainbud start

실행하기 전에 빈 값을 채워 주세요.

Cursor에서 열기

또는 설정을 직접 복사하기

프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요

{
  "mcpServers": {
    "trainbud": {
      "command": "npx",
      "args": [
        "-y",
        "trainbud",
        "start"
      ],
      "env": {
        "GARMIN_EMAIL": "your-value",
        "GARMIN_PASSWORD": "your-value",
        "ANTHROPIC_API_KEY": "your-value"
      }
    }
  }
}

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

VS Code에서 열기

또는 설정을 직접 복사하기

프로젝트의 .vscode/mcp.json에 붙여 넣으세요

{
  "servers": {
    "trainbud": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "trainbud",
        "start"
      ],
      "env": {
        "GARMIN_EMAIL": "your-value",
        "GARMIN_PASSWORD": "your-value",
        "ANTHROPIC_API_KEY": "your-value"
      }
    }
  }
}

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.

선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.

직접 입력할 값

  • GARMIN_EMAIL 필수 env
    The email address for your Connect account. Stored only in your local .env; `npx trainbud setup` writes it for you.
  • GARMIN_PASSWORD 비밀 필수 env
    Your Connect password. Stored only in your local .env. Accounts with MFA enabled are not supported, because the unofficial library this drives cannot complete that flow.
  • ANTHROPIC_API_KEY 비밀 env
    Optional, and only for the watch app's Ask card and daily insight. The MCP tools themselves need no model key: every finding is computed in code, and the model only phrases it.

이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.

할 수 있는 일

내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.

기본 점검i

누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검

  • ✓ 통과

    제작자와 저장소 일치

    레지스트리 이름이 GitHub 계정 Zsadigzade 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요

  • … 아직 점검 안 함

    계속 관리되고 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • … 아직 점검 안 함

    라이선스 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • – 해당 없음

    엔드포인트 응답

    내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요

  • – 해당 없음

    OAuth로 로그인

    내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요

  • … 아직 점검 안 함

    도구 설명에 숨겨진 지시 없음

    내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요

클리닉 및 건강 카테고리의 다른 서버와 비교i

  • 이 카테고리의 다른 서버 869개 중 0%보다 스타가 많아요
  • 이 카테고리의 다른 서버 869개 중 41%보다 최근에 레지스트리에 공개됐어요
  • 기본 점검 결과가 이 카테고리의 다른 서버 869개 중 100%와 같거나 더 좋아요

레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.

자주 묻는 질문

TrainBud, 안전한가요?

해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.

어떤 키나 코드가 필요한가요?

입력해야 할 값: GARMIN_EMAIL, GARMIN_PASSWORD, ANTHROPIC_API_KEY

내 컴퓨터에서 실행되나요, 클라우드에서 실행되나요?

내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).

아직 관리되고 있나요?

GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.9.0)은 2개월 전 레지스트리에 올라왔어요.

어떤 앱에서 쓸 수 있나요?

Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js, Docker도 있어야 해요.

대신 쓸 수 있는 건 뭐가 있나요?

같은 카테고리에는: Mirobody, FHIR MCP Server, Google Health MCP

대안

같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.

카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i

Mirobody

제작자: thetahealth

Lab results to LOINC codes and UCUM units, symptoms and diagnoses to ICPC-3. Offline, no API key.

내 컴퓨터에서 실행★ 1,408Apache-2.05일 전 업데이트
설치

FHIR MCP Server

제작자: wso2

MCP server providing seamless access to FHIR APIs for AI tools and healthcare applications

내 컴퓨터에서 실행★ 137Apache-2.09일 전 업데이트
설치

Google Health MCP

제작자: davidmosiah

Privacy-first unofficial Google Health API v4 MCP server for health, sleep, activity, HR agents

내 컴퓨터에서 실행★ 79MIT4개월 전 업데이트
설치

제작자의 README

README 열기

제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.

TrainBud

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.

Try it

Once connected to your MCP client, ask things like:

  • *"What did I do today?"*
  • *"How's my sleep been this week?"*
  • *"Am I recovered enough to train hard tomorrow?"*
  • *"Is my resting heart rate trending down?"*

See examples/prompts.md for more ideas.

Why TrainBud

  • Private — credentials stay in your local .env; data is cached on your machine
  • Local-first — SQLite cache, session tokens in .trainbud/
  • Works everywhere — Windows, macOS, Linux (Node.js 22.12+)
  • Any MCP client — Claude Desktop, Cursor, and other stdio-compatible clients
  • Smart fetching — batched API calls and automatic re-auth when sessions expire

Quick start

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.

Claude Code plugin (recommended)

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"

CommandWhat it does
/trainbud:trainbud-setupFirst-time setup and diagnostics
/trainbud:trainbudAsk about workouts, sleep, recovery, HR, stress, VO2 max

Plugin files live in plugin/. See plugin/README.md.

Claude Code skills (in-repo)

This repo also ships project skills in .claude/skills/ for development without installing the plugin:

CommandWhat it does
/trainbud-setupInstall, authenticate, configure MCP, run live check
/trainbudAsk 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?"*

Dashboard

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:

SettingWhat it changes
Name, units, primary sport, weekly goalEvery renderer, and what the AI is told about you
ThresholdsWhere green becomes amber and amber becomes red — on the watch too
Watch cardsWhich cards appear on the wrist and in what order, live on the next sync
AI model, tone, answer lengthHow the Ask card and the daily insight sound
Your own Ask questionsUp to five, 32 characters each. They lead the watch's Ask menu; the rest of the slots stay generated from what fired
Monthly spending capOptional. Refuses an Ask past the cap instead of spending past it
PrivacyLocal 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.

Garmin watch widget (Connect IQ)

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).

  1. Start the server and tunnel:
   trainbud serve

cloudflared tunnel --url http://127.0.0.1:3847

2. Build and sideload the widget — see [ciq/README.md](./ciq/README.md)
  1. In Garmin Connect Mobile → Connect IQ → TrainBud settings, set:
  • Server URL — your tunnel URL (e.g. https://abc.trycloudflare.com)
  1. Open the widget on your watch — it shows a pairing code. Approve it in the dashboard (/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.

Detector rules

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 (/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.

  • Android / Chrome — speech recognition happens in the browser. Free, no key.
  • iPhone / Safari — records audio and transcribes it server-side via Groq (whisper-large-v3-turbo, about $0.04 per hour of audio). Add the key on the dashboard.
  • Both — answers are spoken back, and Read me my day / Read today's insight cost nothing at all: they are composed in code from data already on hand, not generated.

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

Always on (/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

Connect to Claude Desktop

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.

Tools

ToolWhat it answers
get_latest_activityYour most recent workout — distance, pace, HR, elevation
get_activities_rangeActivities between two dates
get_sleep_dataSleep duration, stages, score, awakenings — and which parts of last night were unusual for you
get_heart_rate_trendsResting, max, and average HR over time
get_recovery_statusRecovery score from HRV, sleep, stress, resting HR
get_body_compositionWeight, body fat, and muscle mass trends
get_stress_levelsDaily stress averages and trends
get_vo2_max_trendsVO2 max fitness trends over time
get_training_insightsCombined weekly summary (activities, sleep, recovery, stress)
get_findingsWhat stands out against your own 28-day baselines, with the rule each finding fired on
get_week_reviewThis week against last, the load forecast, sleep debt, and your next race
compare_workoutsOne workout against your own earlier efforts of the same type and distance
remember_contextRecord a goal, a race and its date, an injury, or a note
get_user_contextWhat is on record about you, on any date
log_subjectiveHow a session actually felt — RPE, soreness, mood

CLI

trainbud setup          # Interactive first-time setup (recommended)

trainbud serve # Remote HTTP

앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요

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