MCP For Claude Marketplace
Morning Alertness Scorer

Morning Alertness Scorer MCP Connector for Claude

A+

Predict sleep inertia severity and optimize morning alertness.

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

This MCP server provides biological modeling of sleep inertia to help users manage morning grogginess. By analyzing wake time and sleep stages, it uses get_inertia_severity to quantify grogginess, get_alertness_timeline to predict cognitive clarity progression, and get_recovery_strategies to suggest behavioral interventions. It also includes get_caffeine_optimization to identify the best window for caffeine consumption to minimize sleep inertia.

sleepalertnesscaffeinebiologyroutine

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

get_alertness_timeline

Provides a projected schedule of when the user will reach peak alertness

get_caffeine_optimization

Determines the optimal window for caffeine consumption

get_inertia_severity

Calculates the predicted intensity of sleep inertia immediately upon waking

get_recovery_strategies

Recommends specific actions to mitigate sleep inertia

See how to talk to your AI agent using Morning Alertness Scorer.

I woke up at 07:00 from deep sleep. How groggy will I feel?

Your predicted sleep inertia severity is high due to waking during a deep sleep stage. You can expect significant grogginess immediately after waking.

I woke up at 06:30 from light sleep. When will I be fully alert?

Since you woke from light sleep, your alertness will increase steadily. You are expected to reach peak cognitive clarity by 07:15.

I woke up at 08:00 from rem sleep and I plan to drink coffee. What is the best time for caffeine?

The optimal window for your caffeine consumption is between 08:15 and 08:45 to maximize its effectiveness against sleep inertia.

The score is determined by the `get_inertia_severity` tool, which weights the intensity based on the biological sleep stage (light, rem, or deep) at the moment of waking.

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