MCP For Claude Marketplace
Sleep Efficiency Calculator

Sleep Efficiency Calculator MCP Connector for Claude

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Convert sleep diary entries into physiological metrics like efficiency and fragmentation.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
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This MCP server provides a suite of tools to transform raw sleep diary data into actionable health insights. By using calculate_sleep_metrics, you can determine your sleep efficiency percentage and fragmentation index. You can also use get_quality_description to understand your sleep health tier, get_optimization_plan for personalized hygiene advice, and summarize_sleep_report to generate a cohesive narrative of your sleep session.

sleephealth-metricswellnessphysiologyoptimization

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

get_quality_description

Provides a natural language description of a sleep quality category

calculate_sleep_metrics

Calculates core physiological sleep metrics from diary data

get_optimization_plan

Generates personalized recommendations to improve sleep

summarize_sleep_report

Aggregates all sleep metrics into a single human-readable summary

See how to talk to your AI agent using Sleep Efficiency Calculator.

I was in bed for 480 minutes, I slept for 420 minutes, and I woke up 2 times. What are my sleep metrics?

Your sleep efficiency is 87.5%, your fragmentation index is low, and your sleep quality is categorized as Excellent.

I spent 500 minutes in bed, slept for 350 minutes, and woke up 5 times. Can you summarize my sleep?

Your sleep efficiency was 70%, which falls into the Fair category. With a fragmentation index reflecting 5 awakenings, your sleep was somewhat disrupted.

My sleep efficiency is 60% and my fragmentation index is high. What should I do?

To improve your sleep, try establishing a consistent bedtime and reducing mid-night awakenings by optimizing your sleep environment.

Sleep efficiency is the ratio of time spent actually sleeping compared to the total time spent in bed. You can calculate this using the `calculate_sleep_metrics` tool.

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