MCP For Claude Marketplace
Sleep Diary Analyzer

Sleep Diary Analyzer MCP Connector for Claude

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Analyzes sleep diary entries to identify patterns, red flags, and clinical insights.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

This MCP server connects AI agents to detailed sleep data analysis. It processes sleep diary entries to calculate key metrics like sleep efficiency and consistency. Use analyze_sleep_summary for high-level metric overviews, detect_sleep_patterns to find trends like decreasing duration, identify_red_flags to spot physiological risks, and generate_clinical_insights for qualitative observations based on sleep architecture.

sleephealth-techdata-analysiswellnessbiometrics

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

analyze_sleep_summary

Provides a high-level overview of sleep metrics for a specific period

detect_sleep_patterns

Requires at least three entries to establish a trend. Identifies recurring trends such as progressive sleep loss or rhythmic disturbances

generate_clinical_insights

Translates raw metrics into qualitative observations for professional or personal review

identify_red_flags

Flags specific metrics that fall outside of healthy physiological ranges

See how to talk to your AI agent using Sleep Diary Analyzer.

Can you summarize my sleep metrics for the last week?

Your average sleep duration was 7.2 hours with a sleep efficiency of 88% and an average latency of 15 minutes.

Are there any concerning trends in my sleep lately?

Yes, there is a pattern of increasing_latency over the last four days, suggesting it is taking longer to fall asleep.

Check if there are any red flags in my sleep data.

A high impact fragmentation_risk was detected due to frequent nocturnal awakenings recorded in your recent entries.

It processes sleep diary entries including bedtime, wake time, sleep onset latency, number of awakenings, and subjective sleep quality.

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