Oura MCP Server is a specialized MCP server designed to provide AI models with access to health data from the Oura API. This server empowers AI to leverage sleep, readiness, and resilience data, enabling context-aware applications. It offers tools for querying data within specific date ranges, such as get_sleep_data, get_readiness_data, and get_resilience_data, as well as tools for retrieving today's data.

By integrating Oura MCP Server, AI models can answer questions like "What's my sleep score for today?" or "Show me my readiness data for the past week." The server is implemented in Python and connects to the Oura API using a personal access token. It provides human-readable error messages for issues like invalid date formats or API authentication failures, ensuring a smooth integration experience for developers. This allows developers to build AI applications that respond intelligently to a user's health and wellness status.

Oura Data Access for AI

The oura-mcp-server provides a crucial bridge between Oura Ring data and AI models, enabling these models to access personalized sleep, readiness, and resilience metrics. This access empowers AI to incorporate real-time health data into its reasoning and responses. The server acts as an intermediary, securely fetching data from the Oura API and delivering it to the AI model in a structured format. This allows AI to provide context-aware insights and recommendations related to health, wellness, and productivity. For example, an AI assistant could use sleep data to advise on optimal task scheduling or suggest rest periods based on readiness scores. The server handles the complexities of API authentication and data formatting, allowing developers to focus on building intelligent applications.

Date Range Data Retrieval

This feature allows AI models to query historical Oura data within a specified date range. Using the get_sleep_data, get_readiness_data, and get_resilience_data tools, AI can analyze trends and patterns in a user's health metrics over time. The server expects dates in ISO format (YYYY-MM-DD), ensuring consistency and preventing errors. This capability is invaluable for applications that require longitudinal data analysis, such as personalized health coaching or predictive modeling. For instance, an AI-powered fitness app could analyze a user's sleep data from the past month to identify factors affecting sleep quality and provide tailored recommendations for improvement. This feature simplifies the process of retrieving and processing historical data, enabling developers to build more sophisticated and insightful AI applications.

Real-time Health Insights

The oura-mcp-server offers tools for accessing today's sleep, readiness, and resilience data, providing AI models with up-to-date information on a user's current state. The get_today_sleep_data, get_today_readiness_data, and get_today_resilience_data tools enable AI to react to immediate changes in a user's health metrics. This is particularly useful for applications that require real-time adaptation, such as stress management tools or personalized productivity assistants. For example, if a user's readiness score is low, an AI assistant could proactively suggest a lighter workload or recommend mindfulness exercises. By providing access to real-time health insights, the server enables AI to deliver timely and relevant support, enhancing user well-being and productivity.

Error Handling and Validation

The server incorporates robust error handling to ensure reliable data delivery and a smooth user experience. It provides informative error messages for common issues such as invalid date formats, API authentication failures, and network connectivity problems. This allows developers to quickly identify and resolve issues, minimizing downtime and ensuring the AI model receives accurate data. The server's validation mechanisms prevent malformed requests from reaching the Oura API, protecting against potential security vulnerabilities and ensuring data integrity. By providing clear and actionable error messages, the oura-mcp-server simplifies the debugging process and enhances the overall reliability of AI applications that rely on Oura data.