Oura

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Oura provides Large Language Models (LLMs) with secure, real-time access to your Oura Ring health data, allowing AI assistants to analyze intricate details of your sleep patterns, activity levels, readiness scores, heart rate, stress, workouts, and SpO2. This MCP server acts as a bridge, transforming your personal health metrics into a structured format that LLMs can interpret and converse about, offering personalized insights into your well-being. It facilitates the integration of health metrics directly into AI workflows, enabling conversational AI to answer detailed queries about personal health.

Características Principales

• Supports date range filtering for historical health data analysis
• Direct integration with LLMs via Model Context Protocol (MCP)
• Flexible configuration via environment variables for port and API key
• HTTP-based server compatible with `mcp-remote` for broad LLM integration
• 0 GitHub stars
• Secure access to 7 Oura Ring health data types (Activity, Readiness, Sleep, Heart Rate, Stress, Workouts, SpO2)

Casos de Uso

• Analyze personal sleep quality and patterns over time with LLMs
• Correlate various health metrics like stress levels with sleep quality or workout performance
• Monitor daily activity levels, readiness scores, and recovery insights