Sleep Data Aggregator

Sleep Data Aggregator MCP Connector for Claude

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Unify sleep metrics from trackers, diaries, and subjective ratings.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP connects AI agents to your sleep data ecosystem. It aggregates information from wearable trackers, manual diary entries, and subjective wellness ratings to provide a single source of truth. Use get_unified_metrics to see a combined view of sleep duration and efficiency, detect_sleep_discrepancies to find mismatches between hardware data and user reports, and get_confidence_analysis to understand the statistical certainty of your sleep metrics.

sleephealth-techbiometricswellnessdata-analysis

4 tools expose this connector's capabilities to your AI agent.

detect_sleep_discrepancies

Identifies significant conflicts between objective tracker measurements and subjective user reports

aggregate_source_summary

Provides a breakdown of how much data is being contributed by each specific source

get_confidence_analysis

Calculates the statistical certainty of the current sleep data set

get_unified_metrics

Provides a single, coherent view of sleep metrics by combining all available data sources

See how to talk to your AI agent using Sleep Data Aggregator.

What was my total sleep duration and efficiency for the last week?

Your total sleep duration for the last week was 48.5 hours with an average sleep efficiency of 88%.

Are there any mismatches between my tracker and my diary?

Yes, there were 2 significant conflicts where your tracker reported longer sleep than your manual diary entries.

How certain is my sleep efficiency data?

The current confidence level for your sleep efficiency is high, with a narrow confidence interval due to consistent tracker and diary agreement.

The tool uses weighted averages to combine tracker data and manual diary entries, prioritizing high-frequency tracker data for precise timing.

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