oura · MCP Server

Oura MCP — Health Metrics Queryable by AI

Improvado MCP extracts data from Oura and makes it queryable by AI agents. Ask about sleep quality, readiness trends, and activity patterns without opening the Oura app.

46K+ metrics ·Read & Write access ·500+ platforms ·<60s setup

Read

Ask Any Question About Your Health and Recovery Data

Improvado MCP connects Oura Ring data to AI, so teams and individuals can query sleep scores, HRV trends, and readiness metrics in plain English — with full historical context available instantly.

Example prompts

"What was my average sleep score this week?"

Manual lookup → 5 sec

"Show HRV trend over the last 30 days"

Manual → auto

"On which days was my readiness score below 70?"

30 min → 10 sec

Works with Claude ChatGPT Cursor +5

Write

Log Notes and Sync Wellness Data to Your Workflows

Push Oura health metrics into connected systems, log daily wellness check-ins, and sync recovery data to team dashboards directly from your AI agent.

Example prompts

"Log today's readiness score to our wellness dashboard"

Manual → auto

"Sync this week's sleep data to the team performance tracker"

1 hr → 1 min

"Export last month's HRV data to a spreadsheet"

45 min → 2 min

Every action logged · Fully reversible · SOC 2 certified

Monitor

Track Health Trends and Recovery Patterns Automatically

Monitor sleep quality trends, readiness dips, and recovery patterns continuously — your AI agent surfaces health signals that warrant attention before they compound.

Example prompts

"Alert me if my readiness score drops below 65 three days in a row"

Manual tracking → auto

"Track weekly sleep efficiency changes over the last month"

Manual → auto

"Show days where activity load exceeded recovery capacity"

Weekly review → instant

Alerts sent to Slack, email, or your AI agent

Full cycle

The Closed Loop: Read → Decide → Write → Monitor

Your AI agent doesn't just surface data — it acts. Adjust pricing, update product descriptions, manage inventory, apply discounts — all through natural language. The MCP server translates intent into API operations.

Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.

Ideate

Launch

Measure

Analyze

Report

Iterate

One conversation. All six phases. Every platform.

The daily grind

Common problems. Direct answers.

Challenge 1

Health Data Siloed in an App

The problem

Oura health metrics live inside the app — making it hard to correlate recovery data with work schedules, team performance, or other wellness signals.

How MCP solves it

Improvado MCP extracts Oura data and makes it queryable alongside other data sources, enabling richer health and performance correlations through AI.

Try asking

How does my sleep score correlate with high-output work days?

Answer in seconds

All data sources, one query

Challenge 2

Manual Wellness Tracking

The problem

Teams using health data for performance optimization spend significant time manually reviewing metrics and creating summary reports.

How MCP solves it

AI agents query Oura data automatically and generate wellness summaries, trend reports, and anomaly alerts without manual effort.

Try asking

Summarize team readiness scores for the past two weeks

Full detail preserved

No data loss on export

Challenge 3

Missing Recovery Trend Signals

The problem

Gradual declines in sleep quality or readiness are hard to spot day-to-day — the pattern only becomes clear after it's already impacting performance.

How MCP solves it

Continuous AI monitoring tracks trends over rolling windows and surfaces declining patterns early — giving teams time to intervene.

Try asking

Is my 7-day average sleep score trending up or down this month?

Unified data model

Compare anything side by side

👥 Teams

One Framework. Five Roles. Zero Setup.

Same MCP connection, different workflows for every team member. Each role asks in natural language — the MCP server handles the complexity (rate limits, auth, schema normalization, governance) behind the scenes.

Agency CEO

Portfolio health. Client risk. Revenue signals.

Media Strategist

70% strategy, not 70% ops. Auto campaign QA.

Marketing Analyst

Zero wrangling. Cross-platform. AI narratives.

Account Manager

QBR decks auto-generated. Call prep in 30s.

Creative Director

Performance-to-brief. Predict winners before spend.

FAQ

Common questions

What is Oura MCP?

Oura MCP is an integration that connects Oura Ring health and recovery data to AI agents via the Improvado MCP server. Users and teams can query sleep, readiness, and activity metrics using plain-language prompts.

What data does Improvado extract from Oura?

Improvado extracts sleep scores, HRV measurements, readiness scores, activity data, respiratory rate, body temperature, and daily health summaries from the Oura API.

Can Oura data be combined with other data sources through MCP?

Yes. Because Improvado MCP aggregates data from multiple sources, Oura health metrics can be queried alongside calendar data, productivity tools, or other wellness platforms through the same AI agent.

Is Oura MCP suitable for team wellness programs?

Yes. Organizations running team wellness programs can use Improvado MCP to aggregate anonymized or consented Oura data and surface group-level health trends through AI agents.

How does Oura MCP protect health data privacy?

Improvado MCP accesses Oura data through the official Oura API using authorized credentials. Data handling follows Improvado's security and compliance standards — no data is shared beyond the configured AI agent environment.

Which AI agents are compatible with Oura MCP?

Any MCP-compatible AI agent works with Improvado MCP, including Claude, enterprise AI platforms, and custom LLM pipelines built on the Model Context Protocol.

Stop Reporting. Start Executing.

Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.

SOC 2 Type II GDPR 500+ Platforms