Cognitive Load Estimator

Cognitive Load Estimator MCP Connector for Claude

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Quantify mental strain from workload metrics and get actionable mitigation strategies.

3 tools Official Updated Jun 28, 2026 Official Vinkius Partner

The Cognitive Load Estimator is an analytical engine designed to quantify the mental effort used in working memory. By analyzing four primary vectors--active tasks, pending decisions, unresolved conflicts, and work hours--it calculates a precise cognitive load score. Use estimate_cognitive_load to identify your current strain level, assess_burnuit_risk to evaluate burnout probability based on task density, or screen_friction_impact to measure the pressure from interpersonal friction. The tool provides actionable recommendations such as Delegation, Automation, Mediation, and Rest to help prevent burnout and maintain productivity.

burnout-preventionworkload-managementmental-healthproductivity-toolscognitive-science

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

assess_burnout_risk

Assesses the risk of burnout

screen_friction_impact

Screens for interpersonal and decision-based friction

estimate_cognitive_load

Estimates cognitive load based on workload metrics

See how to talk to your AI agent using Cognitive Load Estimator.

I have 15 active tasks, 5 pending decisions, 2 unresolved conflicts, and I've worked 50 hours this week. What is my cognitive load?

Your cognitive load level is High. Your score is 42.5. Recommendations: Delegate some tasks and prioritize resolving the 2 conflicts to reduce mental friction.

Assess my burnout risk with 20 tasks and 45 work hours.

Your burnout risk level is High. The primary driver is task density relative to your worked hours.

How much stress am I facing from 10 pending decisions and 3 conflicts?

Your friction impact index is 8.5. Suggested action: Mediate the existing conflicts to reduce decision-based pressure.

The `estimate_cognitive_load` tool weighs active tasks, pending decisions, and unresolved conflicts. Work hours act as a multiplier that increases the impact of these factors if they exceed standard thresholds.

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