io.github.mitchhankins01/oura-ring-mcp MCP Server
io.github.mitchhankins01/oura-ring-mcp
Connect your Oura Ring to Claude for smart health insights—sleep, readiness, activity, and trend analysis.
What is the io.github.mitchhankins01/oura-ring-mcp MCP server?
The Oura MCP Server connects your Oura Ring to Claude and other AI assistants, providing human-readable health metrics and smart analysis. It retrieves sleep stages, readiness scores, activity data, heart rate, and other biometrics, then uses anomaly detection, correlation analysis, and trend tracking to surface actionable insights about your health patterns.
This server bridges your Oura Ring wearable to Claude, letting you ask natural-language questions about your sleep quality, recovery readiness, activity levels, and health trends. Instead of raw JSON, you get formatted insights with context (e.g., "85 - Optimal"), anomaly detection, and correlation analysis to help you understand what drives your best health outcomes.
How to install io.github.mitchhankins01/oura-ring-mcp
Copy-paste configuration for popular MCP clients.
OURA_ACCESS_TOKENsecretOura Personal Access Token (get from cloud.ouraring.com/personal-access-tokens)
OURA_CLIENT_IDOAuth Client ID (alternative to access token, from developer.ouraring.com)
OURA_CLIENT_SECRETsecretOAuth Client Secret (required with OURA_CLIENT_ID)
Tools & capabilities
Tools this server exposes to the agent.
get_sleep— Sleep data with stages, efficiency, heart rate, and HRVget_daily_sleep— Daily sleep scores with contributor breakdownget_readiness— Readiness scores and recovery metricsget_activity— Steps, calories, and intensity breakdownget_workouts— Workout sessions with type and intensityget_sessions— Meditation and relaxation sessionsget_heart_rate— Heart rate readings throughout the dayget_stress— Stress levels and recovery timeget_spo2— Blood oxygen and breathing disturbanceget_tags— User-created tags and notesdetect_anomalies— Find unusual readings using outlier detectionanalyze_sleep_quality— Sleep analysis with trends, patterns, and sleep debtcorrelate_metrics— Find correlations between health metricscompare_periods— Compare this week vs last weekcompare_conditions— Compare metrics with and without a tagbest_sleep_conditions— Identify what predicts your good vs poor sleepanalyze_hrv_trend— HRV trend analysis with rolling averages
Use cases
- Ask daily health check-in questions like 'How did I sleep last night?' or 'Am I recovered enough to work out today?'
- Identify sleep and recovery patterns by asking 'Do I sleep better on weekends?' or 'What time should I go to bed for optimal sleep?'
- Discover health correlations such as 'Does alcohol affect my sleep quality?' or 'How does exercise timing affect my recovery?'
- Compare health metrics across time periods: 'Compare my sleep this week vs last week' or 'How do I sleep after meditation vs without?'
- Detect anomalies and investigate unusual readings: 'Are there any unusual readings in my data?' or 'Why was my readiness so low yesterday?'
io.github.mitchhankins01/oura-ring-mcp MCP server FAQ
It's an MCP server that connects your Oura Ring wearable to Claude, giving you smart health insights about sleep, readiness, activity, and biometrics with anomaly detection and trend analysis.
The server itself is free (MIT licensed). You need an Oura Ring device and an Oura account; Oura's service may have subscription tiers.
Install via npm (`npm install -g oura-ring-mcp`), then add it to your `claude_desktop_config.json` with either a Personal Access Token from Oura or OAuth credentials. Restart Claude Desktop.
Personal Access Token (simpler, from cloud.ouraring.com) or OAuth 2.0 (via developer.ouraring.com). The server can also be deployed remotely on Railway with OAuth support.
Sleep stages, efficiency, HRV, readiness scores, activity (steps, calories), workouts, heart rate, stress, blood oxygen, and user-created tags. You can also run smart analysis like anomaly detection and correlation analysis.
Yes, the README includes instructions for deploying to Railway with OAuth support, allowing access from Claude.ai and Claude Desktop via a remote URL.
README (reference)
Source of truth, from the repository.
Oura MCP Server
An MCP server that connects your Oura Ring to Claude and other AI assistants. Get human-readable insights about your sleep, readiness, and activity—not just raw JSON.
Features
<img src="docs/outputs/demo.gif" width="500" alt="Demo">- Smart formatting - Durations in hours/minutes, scores with context ("85 - Optimal")
- Sleep analysis - Sleep stages, efficiency, HRV, and biometrics
- Readiness tracking - Recovery scores and contributor breakdown
- Activity data - Steps, calories, and intensity breakdown
- Health metrics - Heart rate, SpO2, stress, cardiovascular age
- Smart analysis - Anomaly detection, correlations, trend analysis
- Tags support - Compare metrics with/without conditions
See example outputs — what Claude returns for sleep, readiness, weekly summaries, and smart analysis
Quick Start
1. Install
npm install -g oura-ring-mcp
Or use directly with npx (no install needed):
npx oura-ring-mcp
2. Authenticate with Oura
Option A: Personal Access Token (simpler)
- Go to cloud.ouraring.com/personal-access-tokens
- Create a new token
- Set
OURA_ACCESS_TOKENin your Claude Desktop config (see below)
Option B: OAuth CLI Flow
- Create an OAuth app at developer.ouraring.com
- Set Redirect URI to
http://localhost:3000/callback
- Set Redirect URI to
- Run the auth flow:
export OURA_CLIENT_ID=your_client_id export OURA_CLIENT_SECRET=your_client_secret npx oura-ring-mcp auth - Credentials are saved to
~/.oura-mcp/credentials.json
3. Configure Claude Desktop
Add to claude_desktop_config.json:
With Personal Access Token:
{
"mcpServers": {
"oura": {
"command": "npx",
"args": ["oura-ring-mcp"],
"env": {
"OURA_ACCESS_TOKEN": "your_token_here"
}
}
}
}
With OAuth (after running npx oura-ring-mcp auth):
{
"mcpServers": {
"oura": {
"command": "npx",
"args": ["oura-ring-mcp"]
}
}
}
The server reads credentials from ~/.oura-mcp/credentials.json. To enable automatic token refresh, add your OAuth credentials:
{
"mcpServers": {
"oura": {
"command": "npx",
"args": ["oura-ring-mcp"],
"env": {
"OURA_CLIENT_ID": "your_client_id",
"OURA_CLIENT_SECRET": "your_client_secret"
}
}
}
}
Restart Claude Desktop. Requires Node >=18.
What Can I Ask?
Daily check-ins:
- "How did I sleep last night?"
- "Am I recovered enough to work out today?"
- "What's my body telling me right now?"
Patterns & trends:
- "Do I sleep better on weekends?"
- "What time should I go to bed for optimal sleep?"
- "Is my HRV improving or declining?"
Correlations & insights:
- "Does alcohol affect my sleep quality?"
- "What predicts my best sleep nights?"
- "How does exercise timing affect my recovery?"
Comparisons:
- "Compare my sleep this week vs last week"
- "How do I sleep after meditation vs without?"
- "What changed when I started taking magnesium?"
Anomalies:
- "Are there any unusual readings in my data?"
- "Why was my readiness so low yesterday?"
- "Find days where my metrics were off"
Available Tools
Data Retrieval
| Tool | Description |
|---|---|
get_sleep | Sleep data with stages, efficiency, HR, HRV |
get_daily_sleep | Daily sleep scores with contributors |
get_readiness | Readiness scores and recovery metrics |
get_activity | Steps, calories, intensity breakdown |
get_workouts | Workout sessions with type and intensity |
get_sessions | Meditation and relaxation sessions |
get_heart_rate | HR readings throughout the day |
get_stress | Stress levels and recovery time |
get_spo2 | Blood oxygen and breathing disturbance |
get_tags | User-created tags and notes |
Smart Analysis
| Tool | Description |
|---|---|
detect_anomalies | Find unusual readings using outlier detection |
analyze_sleep_quality | Sleep analysis with trends, patterns, debt |
correlate_metrics | Find correlations between health metrics |
compare_periods | Compare this week vs last week |
compare_conditions | Compare metrics with/without a tag |
best_sleep_conditions | What predicts your good vs poor sleep |
analyze_hrv_trend | HRV trend with rolling averages |
Resources
| Resource | Description |
|---|---|
oura://today | Today's health summary |
oura://weekly-summary | Last 7 days with averages |
oura://baseline | Your 30-day averages and normal ranges |
oura://monthly-insights | 30-day analysis with trends and anomalies |
oura://tag-summary | Your tags and usage frequency |
Prompts
| Prompt | Description |
|---|---|
weekly-review | Comprehensive weekly health review |
sleep-optimization | Identify what leads to your best sleep |
recovery-check | Should you train hard or rest today? |
compare-weeks | This week vs last week comparison |
tag-analysis | How a specific tag affects your health |
Remote Deployment (Railway)
Deploy the MCP server for remote access. The server proxies OAuth through Oura, so users authenticate directly with their Oura account — no PAT needed.
1. Create an Oura OAuth App
- Go to Oura OAuth Applications
- Create a new application
- Set the Redirect URI to:
https://your-app.railway.app/oauth/callback - Note the Client ID and Client Secret
2. Deploy
# Install Railway CLI
npm install -g @railway/cli
# Login, init, and deploy
railway login
railway init
railway up
3. Set Environment Variables
In the Railway dashboard, add:
| Variable | Description |
|---|---|
OURA_CLIENT_ID | From your Oura OAuth app |
OURA_CLIENT_SECRET | From your Oura OAuth app |
NODE_ENV | production |
MCP_SECRET | (Optional) Static bearer token for Claude Desktop (openssl rand -base64 32) |
OURA_ACCESS_TOKEN | (Optional) PAT fallback if not using OAuth (MCP_SECRET required) |
Railway automatically sets PORT and RAILWAY_PUBLIC_DOMAIN.
4. Connect from Claude.ai
Use the connector in Claude.ai:
- Go to Settings > MCP Connectors > Add
- Enter your server URL:
https://your-app.railway.app(without/mcp) - Leave OAuth Client ID and Secret empty (dynamic registration handles it)
- You'll be redirected to Oura to authorize access to your data
5. Connect from Claude Desktop
For Claude Desktop, use MCP_SECRET + OURA_ACCESS_TOKEN:
{
"mcpServers": {
"oura-remote": {
"url": "https://your-app.railway.app/mcp",
"headers": {
"Authorization": "Bearer your_mcp_secret_here"
}
}
}
}
Local Testing
# With Oura OAuth (full flow)
OURA_CLIENT_ID=your_id OURA_CLIENT_SECRET=your_secret pnpm start:http
# With static secret only (requires OURA_ACCESS_TOKEN)
OURA_ACCESS_TOKEN=your_pat MCP_SECRET=test-secret pnpm start:http
# Verify health endpoint
curl http://localhost:3000/health
# Check OAuth metadata (only available when OURA_CLIENT_ID is set)
curl http://localhost:3000/.well-known/oauth-authorization-server
# Test authenticated request (with static secret)
curl -X POST http://localhost:3000/mcp \
-H "Authorization: Bearer test-secret" \
-H "Content-Type: application/json" \
-d '{"jsonrpc":"2.0","method":"initialize","params":{"capabilities":{}},"id":1}'
Contributing
See CLAUDE.md for architecture details and development guidelines.
License
MIT
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