oura-ring-mcp
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Alternatives to oura-ring-mcp
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityDmaintenanceIntegrates Oura Ring health data with Claude Desktop, providing resources, tools, and advanced analytics for sleep, activity, readiness, and health trends.1-
- AlicenseNot gradedqualityDmaintenanceEnables access to Oura Ring health data including sleep patterns, activity metrics, readiness scores, heart rate, workouts, and stress measurements with AI-powered analysis and personalized recommendations.67 npmMIT
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to access your Oura Ring health data through OAuth2-authenticated API calls.2 npm9MIT
- AlicenseAqualityAmaintenanceAsk your Oura Ring about sleep, readiness, activity, stress and heart rate in ChatGPT or Claude, in any language. Read-only, 10 task-oriented tools; runs in a sandbox demo mode with no credentials.1015 npm1MIT
- AlicenseAqualityCmaintenanceEnables users to access and query Oura ring health data, including sleep periods, readiness, activity, workouts, heart rate, stress, SpO2, resilience, and more, through Claude.ai or Claude Code using the Oura API v2 with OAuth 2.1 login.1815 npmMIT
- AlicenseAqualityCmaintenanceConnects WHOOP fitness tracker data to AI assistants like Claude and ChatGPT, enabling natural language queries about recovery, sleep, strain, and trends.242MIT
TDQS
Scored across 27 tools
Most tools have distinct purposes, with clear separation between retrieval (get_*) and analysis (analyze_*, compare_*, etc.). However, there is some potential overlap among analytical tools like analyze_sleep_quality, best_sleep_conditions, and compare_conditions, which could cause confusion for an agent without careful reading of descriptions.
The naming uses multiple verb styles (get, analyze, compare, correlate, detect) and one adjective phrase (best_sleep_conditions), making the pattern inconsistent. While each verb indicates a function, the lack of a single predictable convention reduces coherence.
With 27 tools, the server is on the high side for a single-domain MCP. While each tool seems justified by the rich Oura data model, the quantity may overwhelm agents and suggests potential over-scoping.
The tool set covers a wide range of Oura metrics (sleep, activity, HRV, temperature, tags, workouts, etc.) and provides both data retrieval and analysis. Minor gaps exist, such as no create/update operations for tags or sessions, but these are reasonable for a read-and-analyze focused server.