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    Provides access to Oura Ring health data including sleep, readiness, and resilience metrics through the Oura API, enabling language models to query and analyze personal health information.
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    114
    MIT
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    Enables querying sleep, readiness, and resilience data from the Oura API via the Model Context Protocol (MCP), allowing natural language interaction and seamless integration with tools like Claude.
    Last updated
    6
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    MIT
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    Enables AI assistants to access and analyze Oura Ring health data, including sleep, readiness, and activity metrics, with support for visualization and correlation analysis.
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    MIT
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    A Python-based Model Context Protocol server that provides AI assistants with access to Oura Ring health and fitness data across 15+ endpoints. It enables querying metrics like sleep, activity, readiness, and cardiovascular health through simple authentication and date-range filtering.
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    MIT
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    Provides LLMs with access to Oura Ring health data including sleep metrics, activity tracking, heart rate, readiness scores, and other wellness insights through the Oura API v2.
    Last updated
    MIT
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    Provides read-only access to Oura ring biometrics via the Oura API, enabling Claude to query daily summaries, sleep, readiness, stress, workouts, baselines, and heart rate data. Designed to complement a Strava connector for joint analysis of training and recovery.
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    MIT
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    Enables AI assistants to access Oura Ring health data including sleep, readiness, activity, heart rate, and workouts through OAuth2-authenticated API calls with automatic token refresh and smart caching.
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    6
    MIT
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    Exposes the complete Oura Ring v2 API to LLM agents, including detailed sleep data, time-series biometrics, hypnogram rendering, and analytical tools, unlike other MCPs that only provide daily scores.
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    MIT
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    Provides access to Oura Ring health data, including sleep, activity, readiness, and stress metrics via the Model Context Protocol. It enables users to query their personal biometric information and daily health summaries through natural language in MCP-compatible clients.
    Last updated
    3,254
    MIT