Oura MCP Server

Oura MCP Server

An MCP server that enables access to Oura Ring data, including sleep, activity, readiness, and other health metrics, through local stdio or remote HTTP with OAuth.

Category
Visit Server

README

Oura MCP Server

A Model Context Protocol (MCP) server for accessing Oura Ring data.

It runs in two modes from the same codebase:

Mode Entrypoint Transport Use it for
Local npm run start:stdio stdio Claude Code and Claude Desktop on your own machine
Hosted npm start Streamable HTTP + OAuth claude.ai in the browser and the Claude mobile apps

Prerequisites

  • Node.js 20+
  • An Oura account

Installation

npm install
npm run build

Oura credentials

  1. Log in to the Oura Cloud Console
  2. Create a Personal Access Token

Set it as OURA_PERSONAL_ACCESS_TOKEN. See .env.example for the full list of variables. Set OURA_TIMEZONE to your IANA zone (e.g. America/Phoenix) — it decides what "the last 7 days" means for the resource defaults. It falls back to UTC, which shifts the window by a day for part of every day anywhere west of Greenwich, so it is worth setting explicitly.

Personal access tokens are the only supported credential. Earlier versions also accepted OAuth2 client id/secret, but nothing ever ran the authorization-code flow against Oura, so that path could only fail at request time; it has been removed rather than left as a trap.


Local mode (stdio)

Claude Code

claude mcp add oura -s user \
  -e OURA_PERSONAL_ACCESS_TOKEN=your_token \
  -- "$(command -v node)" /absolute/path/to/oura-mcp/build/index.js

Claude Desktop

Settings → Developer → Edit Config:

{
  "mcpServers": {
    "oura": {
      "command": "/absolute/path/to/node",
      "args": ["/absolute/path/to/oura-mcp/build/index.js"],
      "env": { "OURA_PERSONAL_ACCESS_TOKEN": "your_token" }
    }
  }
}

Pass the token in env rather than relying on a .env file. dotenv resolves .env against the current working directory, which for a client-launched server is wherever the client happened to start — not this repo.

Testing

npm test        # builds first, then runs the suite

22 tests across two suites, none of which need a live Oura token: oauth.test.ts drives the real OAuth flow over HTTP (discovery, dynamic registration, PKCE, single-use codes, refresh, bearer rejection), and tools.test.ts checks the tool and resource surface over stdio — including a regression test that stdout carries nothing but JSON-RPC.

For a manual probe against real data:

node test.js get_daily_sleep 2026-08-01

Hosted mode (HTTP + OAuth)

claude.ai and the mobile apps only talk to remote MCP servers over HTTPS, so reaching your data from a phone means deploying this somewhere.

What the auth actually does

The server is its own OAuth 2.1 authorization server. Your Oura token stays in server-side env and is never handed to the client; the OAuth flow exists only to prove that whoever is calling /mcp knows MCP_AUTH_PASSWORD.

Client ids, authorization codes, and tokens are all HMAC-signed payloads rather than database rows, so a redeploy doesn't sign you out and no storage needs provisioning. Clients are registered as public clients and authenticate with PKCE. Authorization codes are single-use.

Deploying to Railway

  1. Create a new Railway project from this repo. railway.json pins the build and start commands and points the healthcheck at /healthz.

  2. Generate a signing secret:

    openssl rand -hex 32
    
  3. Set these variables in the Railway service:

    Variable Value
    OURA_PERSONAL_ACCESS_TOKEN your Oura token
    OAUTH_SIGNING_SECRET the hex string from step 2
    MCP_AUTH_PASSWORD the password you'll type when connecting

    You do not need to set PUBLIC_URL on Railway. The server falls back to RAILWAY_PUBLIC_DOMAIN, which Railway injects once the service has a domain (Settings → Networking → Public Networking → Generate Domain). Set PUBLIC_URL explicitly only when hosting elsewhere, or to override the advertised origin — it must then match the real origin exactly, since it's what the server publishes in its OAuth metadata.

  4. Confirm the deploy: curl https://your-app.up.railway.app/healthz

PORT is injected by Railway; don't set it yourself.

Connecting Claude

In claude.ai → Settings → Connectors → Add custom connector, use:

https://your-app.up.railway.app/mcp

Leave the OAuth client fields blank — the server supports dynamic client registration, so Claude registers itself. You'll be redirected to a sign-in page asking for MCP_AUTH_PASSWORD, and after that the connector is available in the browser and on the mobile apps under the same account.

Endpoints

Path Purpose
POST /mcp The MCP endpoint. Requires a bearer token and the oura:read scope.
/authorize, /token, /register, /revoke OAuth, mounted by the MCP SDK
POST /login Password form posted from the authorize page
/.well-known/oauth-authorization-server AS metadata
/.well-known/oauth-protected-resource/mcp Protected-resource metadata
GET /healthz Healthcheck

GET and DELETE on /mcp return 405: the server runs the transport in stateless mode, so there's no long-lived SSE stream or session to tear down. Every request gets a fresh server instance, which is what lets a redeploy or a second replica pick up mid-conversation.


Available resources

personal_info, daily_activity, daily_readiness, daily_sleep, sleep, sleep_time, workout, session, daily_spo2, rest_mode_period, ring_configuration, daily_stress, daily_resilience, daily_cardiovascular_age, vO2_max

Date-based resources default to the last 7 days, bounded by OURA_TIMEZONE.

Response shape

Results are paginated by Oura via next_token; the server follows it to completion, so a wide date range returns every record rather than the first page. It stops after 25 pages and marks the response truncated rather than looping.

Interval-sample fields — the per-30-second and per-5-minute arrays on sleep (heart_rate, hrv, movement_30_sec, sleep_phase_5_min) and daily_activity (class_5_min, met) — are stripped by default, since a month of them runs to megabytes and crowds out the conversation. Pass includeIntervalSamples: true on a narrow range when you need them.

Available tools

Every date-based resource above has a matching get_<name> tool taking startDate and endDate in YYYY-MM-DD form — 13 in total.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured