This MCP server enables AI assistants to securely access and analyze your Oura Ring data using the Model Controller Protocol (MCP). It provides a structured way to fetch and understand health metrics, supporting sleep, readiness, heart rate variability (HRV), activity, and related trends. With pre-defined prompts for common health analyses and customizable queries for specific insights, it facilitates exploring correlations between different metrics and time-based patterns. The server handles time units and calculations consistently, converting durations from seconds to hours/minutes for display and applying the specified rules for sleep percentages and sleep efficiency. Visualization capabilities are available, enabling charts and visualizations for sleep stages, HRV versus sleep quality, activity by day, and readiness trends after meals. Data access is secured through an Oura Personal Access Token, and setup is streamlined with environment variables and standard Node.js tooling. The implementation emphasizes clear data handling guidelines and practical example prompts to help users derive meaningful interpretations from their data, while maintaining privacy and token-based authentication.