MCP For Claude Marketplace
Sleep Stage Architecture Analyzer

Sleep Stage Architecture Analyzer MCP Connector for Claude

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Analyze sleep stage distribution and compare it against physiological age-based norms.

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

This MCP server provides specialized diagnostic tools for evaluating sleep architecture. By analyzing stage durations, users can calculate the percentage of N1, N2, N3, and REM sleep. The server uses compare_to_norms to evaluate how these percentages deviate from demographic standards based on age. It also includes evaluate_health_impact to predict how factors like sleep apnea or stress influence sleep structure, and get_sleep_summary to generate a human-readable diagnostic report.

sleephealthbiometricsdiagnosticswellness

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

analyze_sleep_distribution

Calculates the core architectural breakdown of a sleep session

compare_to_norms

Evaluates how an individual's sleep architecture compares to demographic standards

evaluate_health_impact

Predicts how specific health factors might be influencing or distorting the observed sleep architecture

get_sleep_summary

Provides a human-readable diagnostic overview of the sleep session

See how to talk to your AI agent using Sleep Stage Architecture Analyzer.

Analyze my sleep: I spent 20m in N1, 40m in N2, 30m in N3, and 30m in REM. I am 25 years old.

Your sleep architecture consists of 20% N1, 40% N2, 30% N3, and 30% REM. Total sleep time was 120 minutes.

How does my sleep compare to the norm? My percentages are N1: 15%, N2: 50%, N3: 20%, REM: 15%. I am 65 years old.

Your N3 level shows a significant deficit compared to the senior demographic norm, which typically expects higher deep sleep percentages.

Give me a summary of my sleep. Architecture: N1: 10%, N2: 50%, N3: 25%, REM: 15%. Comparisons: N1Delta: 5, N2Delta: -5, N3Delta: -10, REMDelta: -5. Implications: ['Sleep apnea may be reducing N3 sleep'].

Your sleep quality is impacted by a primary deficit in N3 (deep sleep). The presence of sleep apnea may be contributing to this reduced deep sleep duration.

Use the `analyze_sleep_distribution` tool by providing the durations (in minutes) for N1, N2, N3, and REM stages, along with the user's age.

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