MCP For Claude Marketplace
Deep Sleep Estimator

Deep Sleep Estimator MCP Connector for Claude

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Estimates deep sleep distribution and physical recovery impact.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
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This MCP server provides biological sleep modeling to estimate the distribution and restorative value of Slow Wave Sleep (SWS). By analyzing sleep duration, timing, age, and activity levels, it calculates key metrics such as deep sleep percentage, first-half concentration, and physical recovery scores. Use estimate_sleep_distribution for a full breakdown, calculate_recovery_impact to isolate restorative value, get_sleep_timing_efficiency to check circadian alignment, or analyze_sleep_density to evaluate sleep fragmentation.

sleeprecoveryhealth-techcircadianwellness

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

analyze_sleep_density

Determines if deep sleep was "dense" (concentrated) or "fragmented" (spread thin)

calculate_recovery_impact

Specifically isolates the restorative value of the sleep session

estimate_sleep_distribution

Provides a comprehensive breakdown of deep sleep characteristics for a given night

get_sleep_timing_efficiency

Evaluates how well the sleep timing aligns with biological needs

See how to talk to your AI agent using Deep Sleep Estimator.

I slept for 480 minutes starting at 23:00. I am 30 years old and had high activity today. What was my sleep distribution?

Your sleep distribution included a deep sleep percentage of 18% with a high concentration in the first half of the night. Your physical recovery score was 72/100 due to your high activity level.

How efficient was my sleep timing if I went to bed at 01:00 and I am 45 years old?

Your circadian alignment score is 45/100. For your age, the optimal window to start sleep for maximum efficiency is 22:30.

Calculate the recovery impact for 90 minutes of deep sleep for a 25-year-old with moderate activity.

The total restorative contribution is 85 units, with a recovery efficiency of 0.94.

The estimates are based on biological models of Slow Wave Sleep (SWS) and circadian rhythms. They provide a mathematical approximation of sleep architecture rather than medical-grade diagnostic data.

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