Oura MCP Server

A Model Context Protocol (MCP) server that provides AI assistants with structured, semantic access to your Oura Ring health data.

Features

📊 Raw HRV Data Access (v0.7.0) ✅

• Raw HRV Trend: get_hrv_trend — retrieves average_hrv in real milliseconds from the detailed sleep endpoint (not score-based), with resting HR (lowest nightly value), sleep stages, and automatic trend analysis across configurable time windows (NEW in v0.7.0)

Related MCP server: Withings MCP Server

Features

🍽️ Nutrition Intelligence (v0.6.0) ✅

• Calorie Needs Prediction: 7-day TDEE forecasts based on activity patterns (NEW in v0.6.0)

• Flexible Macro Planning: Choose from 9 nutrition styles OR set custom carb limits (NEW in v0.6.0)

• BMR & TDEE Calculation: Mifflin-St Jeor formula with Oura activity integration (NEW in v0.6.0)

• Weekly Pattern Analysis: Day-of-week calorie expenditure patterns (NEW in v0.6.0)

• Personalized Recommendations: Protein/carb/fat targets based on your approach (NEW in v0.6.0)

🧠 Health Intelligence (v0.5.0) ✅

• Chronotype Analysis: MSF-based classification (Night Owl, Morning Lark) with personalized recommendations

• Personalized Sleep Need: Auto-detection via readiness correlation - no more one-size-fits-all 8h target

• Analytics: Comprehensive statistical reports with correlations and trend detection

• Predictions: 7-day forecasts for sleep, readiness, and activity with ensemble learning

• Sleep Optimization: Optimal bedtime calculator and personalized sleep debt tracking

• Supplement Analysis: Correlation tracking between supplements and health metrics

• Illness Detection: Multi-signal early warning system (1-2 day advance notice)

• Health Alerts: Automated monitoring with personalized, adaptive thresholds

• Weekly Reports: Comprehensive summaries with week-over-week comparisons

• Recovery Detection: Multi-signal recovery assessment with weighted scoring

• Training Readiness: Sport-specific recommendations (general, endurance, strength, HIIT)

• Anomaly Detection: Statistical detection of concerning patterns

📊 Data Access Tools (v0.3.0+) ✅

• Detailed Sleep Sessions: Exact sleep/wake times, biphasic/polyphasic tracking

• Heart Rate Monitoring: Time-series data with HR zones and activity breakdown

• Workout Sessions: Complete workout history with metrics

• Stress & Recovery: Daily stress levels and recovery time tracking

• SpO2 Monitoring: Blood oxygen saturation trends

• VO2 Max: Cardiorespiratory fitness estimates

• User Tags: Custom notes and activity tracking

🏥 Health Resources (v0.2.0+) ✅

• Sleep Analysis: Detailed sleep stages, efficiency, scores

• Readiness Metrics: HRV, temperature, recovery indicators

• Activity Tracking: Steps, calories, activity scores

• HRV Insights: Baseline comparison and trend detection

• Personal Info: Age, weight, height, biological sex

🔧 Core Features ✅

• Modular Architecture: Clean separation of concerns (v0.3.1)

• Smart Caching: Respects Oura API rate limits

• Privacy Controls: Configurable access levels and audit logging

• Comprehensive Testing: 100% test coverage for all features

Project Structure

oura-mcp-server/
├── src/oura_mcp/
│   ├── api/
│   │   └── client.py              # Oura API v2 client
│   ├── core/
│   │   └── server.py              # MCP server orchestration (1,100+ lines)
│   ├── resources/                 # MCP Resources (health data endpoints)
│   │   ├── formatters.py          # Data formatting utilities
│   │   ├── health_resources.py    # Sleep, readiness, activity, HRV
│   │   └── metrics_resources.py   # Personal info, stress, SpO2
│   ├── tools/                     # MCP Tools (analysis functions)
│   │   ├── analytics_tools.py     # Statistics, sleep debt, supplements
│   │   ├── prediction_tools.py    # Forecasting with ensemble learning
│   │   ├── intelligence_tools.py  # Recovery, training, illness detection
│   │   ├── data_tools.py          # Data access (sessions, HR, workouts)
│   │   └── debug_tools.py         # Weekly reports and utilities
│   └── utils/
│       ├── sleep_aggregation.py   # Biphasic/polyphasic sleep handling
│       ├── chronotype_analysis.py # Chronotype detection (MSF-based)
│       ├── illness_detection.py   # Multi-signal illness warning system
│       ├── sleep_debt.py          # Sleep debt tracking with recovery
│       ├── baselines.py           # Baseline tracking (30-day averages)
│       ├── anomalies.py           # Anomaly detection engine
│       ├── interpretation.py      # Health insights interpreter
│       ├── config.py              # Configuration management
│       └── logging.py             # Structured logging
├── tests/
│   ├── test_server.py             # Basic server tests
│   ├── test_advanced_features.py  # Intelligence features tests
│   └── test_api.py                # API integration tests
├── docs/                          # Comprehensive documentation
├── config/                        # Configuration templates
└── main.py                        # Server entry point

Quick Start

Prerequisites

• Python 3.10+ (or Docker)

• Oura Ring with API access

• Personal Access Token from Oura Cloud

Option 1: Docker (Recommended)

# Set your token
export OURA_ACCESS_TOKEN="your_token_here"

# Start with Docker Compose
docker-compose up -d

# View logs
docker-compose logs -f

See docs/DOCKER.md for complete Docker documentation.

Option 2: Local Python Installation

# Install dependencies
pip install -r requirements.txt

# Configure your Oura token
export OURA_ACCESS_TOKEN="your_token_here"

# Run the server
python main.py

Configuration

Copy config/config.example.yaml to config/config.yaml and customize:

oura:
  api:
    access_token: "${OURA_ACCESS_TOKEN}"
  cache:
    enabled: true
    ttl_seconds: 3600

mcp:
  server:
    name: "Oura Health MCP"
    transport: "stdio"

Usage with AI Clients

Claude Desktop

Add to your Claude config (~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "oura": {
      "command": "python",
      "args": ["/path/to/oura-mcp-server/main.py"]
    }
  }
}

Example Queries

Basic Queries:

• "How did I sleep last night?"

• "What's my readiness score today?"

• "Give me my daily health brief"

Detailed Data (NEW in v0.3.0):

• "Show me my sleep sessions for the last 3 days"

• "What was my heart rate during my workout yesterday?"

• "Get my stress levels for the past week"

• "Show me my blood oxygen levels"

• "What's my VO2 Max?"

• "Show me the tags I created this week"

Nutrition & Calorie Planning (NEW in v0.6.0):

• "Predict my calorie needs for the next 7 days with max 30g carbs"

• "Show me my TDEE forecast with keto macros"

• "What's my calorie expenditure prediction with carnivore diet?"

• "Calculate my macro targets for next week with 50g carb limit"

Chronotype & Sleep Optimization:

• "What's my chronotype based on my sleep patterns?"

• "Calculate my personal sleep need using my readiness data"

• "What's my sleep debt and how long will recovery take?"

• "Calculate my optimal bedtime based on recent patterns"

Analytics & Statistics:

• "Generate a statistics report for the last 30 days"

• "Does my magnesium supplement improve my sleep quality?"

• "Show me a comprehensive weekly health report"

Predictions & Intelligence:

• "Predict my sleep quality for the next 7 days"

• "Forecast my readiness and activity scores for this week"

• "Am I at risk of getting sick? Check for early warning signs"

• "Generate health alerts for any concerning trends"

Recovery & Training:

• "Am I recovered enough for a hard workout today?"

• "Assess my readiness for high-intensity training"

• "What's my HRV trend over the last week?"

• "Is there a correlation between my sleep and activity levels?"

• "Are there any concerning anomalies in my recent data?"

Development

# Run all tests
python3 tests/test_advanced_features.py

# Run API tests
python3 tests/test_api.py

# Run server tests
python3 tests/test_server.py

# Run with debug logging
python main.py --log-level debug

# Type checking
mypy src/

# Linting
ruff check src/

Documentation

• v0.6.0 Release Notes - Nutrition intelligence & calorie forecasting (NEW)

• v0.5.0 Release Notes - Personalized health insights

• v0.4.0 Release Notes - Complete v0.4.0 documentation

• Phase 2 Quick Start Guide - User guide for intelligence features

• Implementation Summary - Complete Phase 2 documentation

• MCP Design - Architecture and design documentation

• Release Notes - Version history and changelog

• Bug Fixes - Known issues and fixes

• Oura API Research - API documentation

• Test Results - Test validation results

Security

• Tokens stored in environment variables only

• Audit logging of all MCP requests

• Configurable access levels (summary/standard/full)

• Local-only data processing

Roadmap

• v0.1.0 - v0.2.0: Core MVP (basic resources + authentication)

• v0.3.0: Complete API coverage (all Oura v2 endpoints) ✅ 2025-01-15

• v0.3.1: Code refactoring & modular architecture ✅ 2026-01-17

• v0.4.0: Health intelligence platform (analytics, predictions, illness detection) ✅ 2026-01-17

• v0.5.0: Personalized health insights (chronotype, adaptive thresholds) ✅ 2026-01-17

• v0.6.0: Nutrition intelligence & calorie forecasting ✅ 2026-01-18

License

MIT

Contributing

This is a personal project, but suggestions and improvements are welcome via issues.