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Oura MCP

제작자: proscar87버전 0.4.0i★ –i내 컴퓨터에서 실행
레지스트리 이름io.github.proscar87/oura-mcp

설치

개요

제작자가 쓴 설명(영어 원문)

The Oura v2 API as an MCP server. Paginates, fixes the date range, warns when data is missing.

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: 기타
  • 입력해야 할 값: OURA_CLIENT_SECRET, OURA_PAT

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: OURA_SANDBOX, OURA_CLIENT_ID, OURA_CLIENT_SECRET, OURA_CREDENTIALS, OURA_PAT, OURA_PAT_FILE

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

필요한 것

  • PyPIPython의 uv 설치(uvx 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": {
    "oura": {
      "command": "uvx",
      "args": [
        "mcp-oura"
      ],
      "env": {
        "OURA_SANDBOX": "your-value",
        "OURA_CLIENT_ID": "your-value",
        "OURA_CLIENT_SECRET": "your-value",
        "OURA_CREDENTIALS": "your-value",
        "OURA_PAT": "your-value",
        "OURA_PAT_FILE": "your-value"
      }
    }
  }
}

터미널에서 이 명령어를 실행하세요

claude mcp add oura --env OURA_SANDBOX=your-value --env OURA_CLIENT_ID=your-value --env OURA_CLIENT_SECRET=your-value --env OURA_CREDENTIALS=your-value --env OURA_PAT=your-value --env OURA_PAT_FILE=your-value -- uvx mcp-oura

실행하기 전에 빈 값을 채워 주세요.

Cursor에서 열기

또는 설정을 직접 복사하기

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

{
  "mcpServers": {
    "oura": {
      "command": "uvx",
      "args": [
        "mcp-oura"
      ],
      "env": {
        "OURA_SANDBOX": "your-value",
        "OURA_CLIENT_ID": "your-value",
        "OURA_CLIENT_SECRET": "your-value",
        "OURA_CREDENTIALS": "your-value",
        "OURA_PAT": "your-value",
        "OURA_PAT_FILE": "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": {
    "oura": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "mcp-oura"
      ],
      "env": {
        "OURA_SANDBOX": "your-value",
        "OURA_CLIENT_ID": "your-value",
        "OURA_CLIENT_SECRET": "your-value",
        "OURA_CREDENTIALS": "your-value",
        "OURA_PAT": "your-value",
        "OURA_PAT_FILE": "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

  • OURA_SANDBOX env
    Set to 1 to use Oura's official synthetic data with no credentials. The recommended way to try the server before authenticating.
  • OURA_CLIENT_ID env
    client_id of your Oura application, for OAuth2. Register one at https://cloud.ouraring.com/oauth/applications with the redirect http://localhost:9876/callback/ (the trailing slash is required).
  • OURA_CLIENT_SECRET 비밀 env
    client_secret of your Oura application. Only needed when running `oura-mcp --authorize` and when refreshing the token.
  • OURA_CREDENTIALS env
    Where the OAuth2 credentials file lives. Defaults to ~/.config/oura-mcp/credentials.json, mode 600.
  • OURA_PAT 비밀 env
    Oura Personal Access Token. Only if you already had one: Oura stopped issuing them in December 2025.
  • OURA_PAT_FILE env
    Path to a file holding the personal token. Preferable to OURA_PAT: an MCP server is registered in a JSON that gets backed up and shared when asking for help; a separate file rotates without touching…

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 proscar87 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

기타 카테고리의 다른 서버와 비교i

  • 이 카테고리의 다른 서버 18329개 중 0%보다 스타가 많아요
  • 이 카테고리의 다른 서버 18329개 중 53%보다 최근에 레지스트리에 공개됐어요
  • 기본 점검 결과가 이 카테고리의 다른 서버 18329개 중 100%와 같거나 더 좋아요

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

자주 묻는 질문

Oura MCP, 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: OURA_CLIENT_SECRET, OURA_PAT

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(0.4.0)은 41일 전 레지스트리에 올라왔어요.

어떤 앱에서 쓸 수 있나요?

Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Python (uv)도 있어야 해요.

대신 쓸 수 있는 건 뭐가 있나요?

같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, Excaliself

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

Spec Driven Development

제작자: formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

내 컴퓨터에서 실행★ 440MIT14개월 전 업데이트
설치

Remote Desktop Commander

제작자: desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

클라우드에서 실행★ 211그저께 업데이트
설치

Excaliself

제작자: maciekzygmunt

Find, read, create, edit, and organize Excalidraw drawings in your self-hosted Excaliself instance.

클라우드에서 실행오늘 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.

oura-mcp

English | 简体中文 | 한국어 | Español

The Oura v2 API as an MCP server. All 19 collections, six tools, no dependencies beyond the MCP SDK.

One local day of heart rate is 1,231 samples across 2 pages

A client that doesn't follow Oura's next_token returns 1,000 of them — 81%, looking complete, with nothing saying otherwise. Measured against the real API on 9 August 2026, one person, one ring, 24 hours.

The test to apply to any Oura MCP server, including this one: does it take next_token — or a cursor, or a limit — as a tool parameter? If it does, pagination is the model's job, and a model that forgets to ask again produces a confident answer off partial data. This server paginates to exhaustion before it returns, and tells you how many pages it took.

That's one of four ways Oura under-delivers without saying so. All four are measured below, and all four are corrected here.

Install

Download `oura-mcp.mcpb` from the latest release and double-click it. Claude Desktop does the rest — no terminal, no Python, no Node. It runs on Oura's official sample data out of the box, and every sample response says so, so nothing can pass for your own sleep.

Prefer the command line? uvx --from mcp-oura oura-mcp.

Prefer no Python on your machine at all?

docker run -i --rm -e OURA_SANDBOX=1 ghcr.io/proscar87/oura-mcp

-i is not optional: an MCP server speaks over stdin and stdout, not over a port. Without it the container has no stdin, the handshake never arrives, and the client reports a server that doesn't show up.

In claude.ai or ChatGPT, in a browser? Those connect by URL, so the server has to live somewhere public: deploy it as a Worker on your own Cloudflare account — free, about ten minutes, yours alone. See Remote: claude.ai and ChatGPT.


The problem, measured

Oura does not return errors when it can't give you what you asked for. It returns something different, shaped like a correct response. These are the four we found by measuring against the real API on 9 August 2026:

1. Skip the pagination and you get a fraction
{ "data": [ ... ], "next_token": "eyJ0eXAiOi..." }

If next_token comes back and you don't follow it, you receive the first page and nothing warns you. One local day of heartrate — one person, one ring, 24 hours — is 1,231 samples across 2 pages. A client that doesn't paginate gets 1,000 of 1,231: 81%, looking complete. A month is ~37,000.

2. Asking for a single day returned zero records

end_date does not behave the same across collections:

Exclude the last day requestedInclude it
daily_activity, sleep, workoutdaily_sleep, daily_readiness, daily_stress, daily_spo2, daily_resilience, daily_cardiovascular_age, sleep_time

And on top of that, `workout` filters by UTC date while reporting `day` in local time: at -06:00, asking for July 16–18 returned records from the 15th and 16th — *before* the requested start.

Here the range is inclusive on both ends, always. Two extra days are requested on each side and then trimmed, which is correct whichever way a given collection behaves — and stays correct when Oura changes it.

3. latest=true is ignored where it doesn't apply

Only heartrate and ring_battery_level honor it. In the other seventeen Oura doesn't error: it returns the entire collection. You ask for the latest record, you get ten, and you believe it's one. Here it's rejected before the request goes out.

4. A field that doesn't exist is silently ignored

fields=does_not_exist returns the complete record — the projection never happens — and fields=score,does_not_exist applies the good one and drops the bad one without a word. Here, fields that never appeared are reported under ignored_fields.

The pattern is always the same: you ask for one thing, you get another, and nothing warns you. That's why this package would rather shout than quietly under-deliver.

Installation

Try it with no credentials
pip install mcp-oura

OURA_SANDBOX=1 oura-mcp --check

The sandbox is official — it's in Oura's OpenAPI spec, with 34 mirror routes — and serves synthetic data without authentication. 18 of the 19 collections work there: personal_info doesn't, which makes sense, since it's the one returning email, age, weight and height.

This is the right order: first you watch the server work and learn the shape of the data, then you go get credentials.

With your own data

Oura stopped issuing Personal Access Tokens in December 2025. Existing ones still work; new ones can't be created. So there are two paths:

a) OAuth2 — the one that works today. Register an application at cloud.ouraring.com/oauth/applications with the redirect http://localhost:9876/callback/ — the trailing slash is required, the portal rejects the other form with invalid_redirect_uri.

If you registered on `developer.ouraring.com` instead, your app belongs to

Oura's newer portal, whose token endpoint is a different one. The legacy

endpoint rejects those apps on every refresh — so the registration works

exactly once, until the first access token expires, and then fails forever

with nothing explaining why. This server tries the legacy endpoint and falls

back to the new one automatically; nothing to configure either way.

export OURA_CLIENT_ID="…"

export OURA_CLIENT_SECRET="…" oura-mcp --authorize # opens the browser, waits for the callback oura-mcp --authorize --manual # headless machines: you paste the URL back

The token is stored in ~/.config/oura-mcp/credenciales.json with mode 600 — or in the system keychain if you happen to have keyring installed, which is not a dependency of this package — and refreshes itself. oura-mcp --forget erases it.

b) A personal token, if you already had one.

export OURA_PAT="your-token"

oura-mcp --check

--check is the self-check: it reports which credential you're using, which scopes were granted and how long the access has left, without returning the token or a single health value. It reports the token's length, never the token. Error messages get copied and pasted into chats and issues; they have no business carrying anything else.

Connecting it to Claude Code

With the package installed (pip install mcp-oura):

claude mcp add -s user oura --env OURA_SANDBOX=1 -- oura-mcp

Drop OURA_SANDBOX once you've run oura-mcp --authorize.

If you use [uv](https://docs.astral.sh/uv/), nothing needs to be installed permanently:

claude mcp add -s user oura --env OURA_SANDBOX=1 -- uvx --from mcp-oura oura-mcp

The --from is required because the distribution is named mcp-oura and the executable oura-mcp. *(This needs uv; without it the command above fails with "command not found", and pip install is the path to take.)*

As a Claude Code plugin:

claude plugin marketplace add proscar87/oura-mcp

claude plugin install oura@oura-mcp

Connecting it to Claude Desktop

One click: download oura-mcp.mcpb from the releases page and double-click it. Claude Desktop installs it — no terminal, no JSON, no Python. It ships with sample data turned on, so it works before you have any credential at all.

When you want your own data, just ask it for something: it opens Oura's authorization page through Claude, waits for the callback, and retries what you asked. No terminal. That works because MCP has a mode for precisely this — URL elicitation — and the client does the opening.

The one thing Oura still requires is that every application be registered, so you need a client ID and secret from cloud.ouraring.com/oauth/applications once. That's Oura's rule, not this server's. oura-mcp --authorize remains for terminal users and for clients that can't show a URL.

Or by hand, in ~/Library/Application Support/Claude/claude_desktop_config.json:

{

"mcpServers": { "oura": { "command": "/full/path/to/oura-mcp", "env": { "OURA_SANDBOX": "1" } } } }

which oura-mcp gives you the full path. Claude Desktop does not inherit your terminal's PATH, so a bare name there fails silently — one of the most common mistakes when configuring an MCP server.

Remote: claude.ai and ChatGPT

Experimental. Tested end to end on Cloudflare's real runtime with Oura's

sample data, and its Oura login against a fake of Oura — but not yet against

a real deployment, a real Oura account, or claude.ai and ChatGPT completing

the connection. If you try it, an issue saying how it went helps.

claude.ai reaches a connector from Anthropic's cloud and ChatGPT from OpenAI's, not from your computer — so a server on your machine is invisible to both. ts/worker is the same server as a Cloudflare Worker that you deploy on your own account, for your own Oura account only. Nobody runs a shared instance, so your tokens and your data pass through no one else.

It adds three things the local server does not need: its own consent page, which shows which app is asking and where the result will go; a check, after Oura's login, that the account is the one you configured — anyone else is turned away, and with no owner configured nobody gets in; and a single place where Oura's single-use refresh token is renewed, one request at a time.

Deployment, step by step, and exactly what has and has not been verified: ts/worker/README.md.

The tools

oura_collectionsAll 19, what each one carries and which parameters it takes
oura_queryOne collection in full over a range, paginating to the end
oura_todayLast night's sleep and today's readiness, with the days before them
oura_compareWhether two periods differ by more than the metric's own noise
oura_relateWhether two metrics' day-to-day changes move together beyond chance
oura_checkSelf-check that exposes nothing

Six, not nineteen. A server with one tool per collection forces the model to pick among 19 similar names before knowing what any of them contain. Here the collection is a parameter and the catalog is consulted when needed.

All six declare themselves read-only, and that isn't a promise: there is no POST, PUT or DELETE anywhere in the package, and a test reads the source to keep it that way.

oura_today is the only one that exists for convenience rather than for correctness: "how did I sleep?" needs today's two records plus enough history to know whether they are unusual, which was four round trips and four chances to stop early. It computes nothing — no average, no delta, no "your HRV is up 12%". The days come back raw and the comparison happens where the method can be cited. Across nine years of real data, three out of four changes between consecutive measurement

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