Integrate Oura with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiGet activity on Oura
Supports date range filtering. Get your Oura activity data
Get heart rate on Oura
Returns timestamp, heart rate value and HRV for each sample. Supports date range filtering. Note: This endpoint returns high-frequency data; use narrow date ranges. Get your Oura heart rate data
Get readiness on Oura
Supports date range filtering. Get your Oura readiness data
Get sessions on Oura
Includes overall scores, sleep metrics, activity data and readiness indicators. Supports date range filtering. Get your Oura session data
Get sleep on Oura
Supports date range filtering with start_date and end_date (YYYY-MM-DD). Pagination via nextToken. Get your Oura sleep data
Get tags on Oura
). Tags are user-entered data points that correlate with sleep and readiness scores. Supports date range filtering. Get your Oura tags
Get workouts on Oura
Workouts can be manually logged or auto-detected by the Oura Ring. Supports date range filtering. Get your Oura workout data
Security & Code Integrity Audit
Every tool in the Oura MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.
How Vinkius protects your data
Can I set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
Can I audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
What health data is available?
Sleep (score, stages, efficiency), Activity (steps, calories, MET), Readiness (score, HRV, RHR, temperature), Tags (mood, energy, behaviors), Workouts (type, duration, HR zones) and Heart Rate (5-min samples).
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
Automated Workflows using Oura
Securely interface Claude Code, ChatGPT, and Cursor with the Oura API through semantic routing and standardized natural language triggers.
Managing wearable tech inside Claude
The Oura integration exposes LLM-friendly schemas for wearable tech. Tools like Cursor can map natural language directly into executable data analytics commands.
Streamlining sleep tracking
The Oura integration exposes LLM-friendly schemas for sleep tracking. Tools like Cursor can map natural language directly into executable data analytics commands.
Oura. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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