Mirobody
Lab results to LOINC codes and UCUM units, symptoms and diagnoses to ICPC-3. Offline, no API key.
제작자가 쓴 설명(영어 원문)
WHOOP recovery, sleep, strain, and workouts for any AI. Analysis tools, demo mode, fast setup.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
WHOOP_MCP_DEMO필요한 것
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": {
"whoop": {
"command": "uvx",
"args": [
"whoop-mcp-server"
],
"env": {
"WHOOP_MCP_DEMO": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add whoop --env WHOOP_MCP_DEMO=your-value -- uvx whoop-mcp-server실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"whoop": {
"command": "uvx",
"args": [
"whoop-mcp-server"
],
"env": {
"WHOOP_MCP_DEMO": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"whoop": {
"type": "stdio",
"command": "uvx",
"args": [
"whoop-mcp-server"
],
"env": {
"WHOOP_MCP_DEMO": "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.
WHOOP_MCP_DEMO env이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 8일 점검
레지스트리 이름이 GitHub 계정 rajdeepmondaldotcom 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
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.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.0.12)은 5개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Python (uv)도 있어야 해요.
같은 카테고리에는: Mirobody, FHIR MCP Server, Google Health MCP
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:↓ 주간 다운로드i★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
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
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Your WHOOP shows you charts. It can't answer "should I train hard today" or "what actually hurts my recovery". This server can.
It connects your WHOOP data to Claude, ChatGPT, and any MCP client. You ask in plain English. It computes the answer from your own records and lets the AI explain it.
You: should I train hard today?
AI: Recovery 81% (green). HRV trending up. Sleep debt cleared. Your 7-day load is 0.94x your 28-day base. You are conditioned for more.
Runs on your machine. Read-only. The only network peer is api.prod.whoop.com. No telemetry. MIT.
One constraint to know before you start. WHOOP has no shared developer app, so during setup you create your own free one. It takes about two minutes of clicking, and it is the reason this is private by design: your tokens belong to your app, on your machine, and your health data never routes through anyone else's server. Including mine.
Install the tool:
uv tool install whoop-mcp-server
(pipx install whoop-mcp-server works the same.)
Then run the one command that does everything:
whoop-mcp-server setup
Here is what happens, in order, so nothing surprises you:
offline, set the redirect URL to exactly http://localhost:8765/callback. The form requires a privacy policy URL. Use this repo's: https://github.com/rajdeepmondaldotcom/whoop-mcp-server/blob/main/PRIVACY.md. Copy the Client ID and Secret, paste them into the terminal. They're stored locally with 0600 permissions.~/.whoop-mcp and refresh themselves from then on. You never do this again.Restart your client. Ask it: "How did I sleep last night?" Then ask the better question: "Give me the full picture of my health this quarter."
Two useful asides. If you want to see the tools work before connecting anything, whoop-mcp-server serve --demo serves 150 days of realistic generated data through the same pipeline. And if anything misbehaves later, whoop-mcp-server doctor names what's wrong and the fix.
24 tools cover every public user-readable endpoint in WHOOP's API, plus the analysis layer that turns records into answers.
| Ask | Tool behind it |
|---|---|
| "Give me the full picture of my health" | get_health_overview: status, trends, training load, records, and correlations in one call |
| "How am I doing today?" | get_daily_summary: recovery, sleep, strain, workouts for any day |
| "What actually affects my recovery?" | get_correlations: strain vs next-morning recovery, sleep vs recovery, with plain readings |
| "Am I overtraining?" | get_strain_trends: acute vs chronic load, per-sport breakdown |
| "Is my HRV improving?" | get_recovery_trends: direction, confidence, unusual days |
| "Show my overnight heart rate curve" | get_sleep_stream: minute-level HR and skin temp, lowest point and when; include_raw=true keeps WHOOP's untouched stream |
| "This month vs last month?" | compare_periods: every metric, improved or declined |
| "My records this year?" | get_personal_records: bests, worsts, green streaks |
| "Export everything" | export_data: full collection history to local JSON and CSV, with raw records by default |
| Week grids, raw records, profile | get_weekly_report, get_sleeps/workouts/cycles/recoveries, by-id tools with include_raw, get_profile(include_raw=true) |
| "I have an old WHOOP activity id" | get_activity_mapping: map a legacy v1 activity id to its v2 UUID |
| Connection trouble | get_connection_status, connect_whoop_account |
Dates are plain English everywhere: yesterday, last 30 days, this week, 2 years ago, 2026-05.
ChatGPT's required search and fetch tools are implemented too, plus 4 resources and 4 ready-made prompts (morning_readiness, weekly_review, sleep_coach, training_planner).
More questions worth asking: docs/PROMPTS.md.
| Client | Setup |
|---|---|
| Claude Desktop | whoop-mcp-server setup configures it for you. No terminal at all: download whoop-mcp-server.mcpb from the latest release and open it (needs uv installed; demo mode is a toggle in its settings) |
| Claude Code | claude mcp add whoop -- whoop-mcp-server serve (setup offers this too) |
| Cursor | auto via setup, or |
| Windsurf | auto via setup |
| VS Code | auto via setup, or |
| ChatGPT | remote connector, see below |
| Docker | docker build -t whoop-mcp-server . && docker run -i --rm -e WHOOP_MCP_DEMO=1 whoop-mcp-server (mount ~/.whoop-mcp for real data) |
| Any MCP client | command: whoop-mcp-server with args: ["serve"]. Inspector: npx @modelcontextprotocol/inspector whoop-mcp-server serve |
ChatGPT setup
ChatGPT connects to remote MCP servers, so expose the HTTP transport and tunnel it:
whoop-mcp-server serve --transport http --port 8000 # endpoint: /mcp
ngrok http 8000
Then in ChatGPT: Settings, Apps & Connectors, Advanced settings, enable Developer mode, create a connector with https:// /mcp and no auth.
Be careful here: a no-auth tunnel means anyone with the URL can read your health data. Keep the URL private and the tunnel short-lived. Claude's stdio setup never exposes anything.
The model is maybe 20% of this product. The other 80% is making the numbers right. Models are bad at arithmetic over 90 days of records, so this server computes first and lets the model explain.
What it can't do: WHOOP's public API has no endpoints yet for Peak features like the stress monitor and healthspan. When WHOOP ships them, they land here. The overnight sensor stream isn't enabled for every account, and the tool reports that instead of failing. Bulk export intentionally fetches the collection endpoints; raw sleep streams are available per sleep with get_sleep_stream(include_raw=true).
105 tests, all offline against a faked WHOOP API. CI on Python 3.10 to 3.13.
whoop-mcp-server setup Guided setup: app, authorize, auto-configure clients
whoop-mcp-server serve Run the server (--demo, --transport stdio|http|sse, --host, --port) whoop-mcp-server status Config and token state whoop-mcp-server doctor Diagnose setup and connectivity whoop-mcp-server auth Scriptable OAuth flow whoop-mcp-server logout Delete tokens (--revoke also revokes at WHOOP)
Nothing required after whoop-mcp-server setup. Overrides, in priority order: process env, ./.env, ~/.whoop-mcp/.env, ~/.whoop-mcp/config.json.
| Variable | Default | Purpose |
|---|---|---|
WHOOP_CLIENT_ID / WHOOP_CLIENT_SECRET | none | WHOOP app credentials |
WHOOP_REDIRECT_URI | http://localhost:8765/callback | Must exactly match the dashboard |
WHOOP_MCP_DEMO | off | 1 serves demo data (same as --demo) |
WHOOP_MCP_DIR | ~/.whoop-mcp | Tokens, config, exports |
WHOOP_MCP_TZ | system zone | IANA timezone for "today" and week bounds |
WHOOP_MCP_CACHE_TTL / WHOOP_MCP_TIMEOUT | 60 / 30 | Seconds |
WHOOP_MCP_LOG_LEVEL | INFO | Logs go to stderr. stdout belongs to MCP |
WHOOP_ACCESS_TOKEN | none | Static token for testing, no refresh |
Read-only against WHOOP. Tokens stored locally with 0600 permissions. The only writes are local files you ask for (export_data) and the OAuth flow you trigger. One thing worth knowing: aggregates like trends and correlations can reveal more about you than single records. Connect this only to AI clients you trust with health data. Full policy: PRIVACY.md. Vulnerabilities: SECURITY.md.
uv venv && uv pip install -e ".[dev]" && pytest && ruff check .
The whole test suite runs offline. CONTRIBUTING.md lists the invariants that keep the data honest. The short version of the architecture: client.py talks to WHOOP, transform.py cleans the records, summaries.py and analytics.py do the math, server.py exposes the tools. oauth.py and tokens.py own auth. demo.py is the generated account.
| Symptom | Fix |
|---|---|
| "WHOOP authorization required" | whoop-mcp-server setup, or ask your AI to connect your WHOOP account |
| Redirect fails after consent | The dashboard redirect URI must be exactly http://localhost:8765/callback |
403 missing scope | Enable all read scopes plus offline on the app, then re-run whoop-mcp-server auth |
| Tools missing in a client | Re-run whoop-mcp-server setup, then fully restart the client |
| No recovery shown today | WHOOP scores it after you wake and sync. The summary says so |
| Sleep stream "not available" | WHOOP doesn't expose it for every account. Nightly summaries still work |
| Anything else | whoop-mcp-server doctor, or get_connection_status from
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요