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
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.
Your AI agent reads harmonized data across 500+ platforms. "Cost" in Google Ads and "spend" in Meta Ads resolve to the same field automatically.
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
Example prompts
"Show anomalies across all accounts"
2h → 40s
"CPL in New York vs. California?"
1h → 30s
"ROAS by campaign type, last 30 days"
45m → 15s
Works with
Claude
ChatGPT
Cursor
+5
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
Write actions
"Launch A/B test, $5K budget"
5 days → 20m
"Shift 20% of Display to PMax"
2h → 1m
"Pause all ad groups with CPA > $50"
30m → 10s
🛡
Every action logged · Fully reversible · SOC 2 certified
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.
250+ governance rules enforce naming conventions, budget limits, and KPI thresholds. SOC 2 Type II certified.
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.
Automated weekly reports, anomaly flagging, and budget alerts — all from a single conversation. No more morning check-ins across 5 dashboards.
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
Monitor prompts
"Flag ad groups over 120% budget"
3h → 1m
"Weekly report: spend, CPA, anomalies"
3h → auto
"Which creatives are fatiguing?"
2h → 30s
Alerts sent to Slack, email, or your AI agent
One conversation. All six phases. Every platform.
The Closed Loop: Read → Decide → Write → Monitor
Push Oura health metrics into connected systems, log daily wellness check-ins, and sync recovery data to team dashboards directly from your AI agent.
Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.
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.
How does my sleep score correlate with high-output work days?
Try asking
"Show ROAS across all 120 accounts"
⚡
Answer in seconds
All data sources, one query
Summarize team readiness scores for the past two weeks
Try asking
"What's my CPL in New York vs. California?"
🔍
Full detail preserved
No data loss on export
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.
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.
Is my 7-day average sleep score trending up or down this month?
Try asking
"PMax vs. Search ROAS for Q1?"
⚖️
Unified data model
Compare anything side by side
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.
👥 Teams
One Framework. Five Roles. Zero Setup.
Same MCP connection, different workflows for every team member. Agency CEOs get portfolio health. Media Strategists get campaign QA. Analysts get cross-platform reports. Account Managers get auto-generated QBR decks. Creative Directors get performance-based briefs.
Each role asks in natural language. The MCP server handles the complexity — rate limits, auth, schema normalization, governance — behind the scenes.
Frequently Asked Questions
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.
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
46K+ Metrics
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