MCP For Claude Marketplace
Burnout Risk Assessment

Burnout Risk Assessment MCP Connector for Claude

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Quantifies occupational burnout risk using Maslach Burnout Inventory principles.

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

This MCP server provides tools to assess burnout risk by mapping work environmental factors to psychological burnout domains. It uses the Maslach Burnout Inventory methodology to evaluate how workload, autonomy, recognition, and recovery time impact emotional exhaustion, depersonalization, and personal accomplishment. Use calculate_burnout_risk for a full assessment, analyze_recovery_efficiency to check rest adequacy, or identify_mbi_domain_alignment to map stressors to specific psychological domains.

burnoutoccupational-healthwellnessworkplace-stressmaslach

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

analyze_recovery_efficiency

Evaluates if the amount of recovery time is sufficient given the workload and hours worked

get_risk_thresholds

Informs the user of the specific score ranges used to categorize risk levels

identify_mbi_domain_alignment

Maps specific occupational stressors to the three Maslach Burnout Inventory domains

calculate_burnout_risk

Provides a comprehensive assessment of an individual's burnout risk based on their current work environment

See how to talk to your AI agent using Burnout Risk Assessment.

Calculate my burnout risk. I work 50 hours a week, have an autonomy level of 3, recognition level of 4, workload intensity of 8, and 10 hours of recovery.

Your burnout risk score is 8.5, which is categorized as Critical. The primary risk factors are high workload and low autonomy.

Is my recovery time sufficient? I work 40 hours, have 15 hours of recovery, and a workload intensity of 5.

Your recovery status is Sufficient. Your recovery ratio is well-balanced for your current workload intensity.

How do my stressors map to burnout domains? Autonomy is 2, recognition is 5, and workload is 9.

Your profile shows high risk for Emotional Exhaustion due to low autonomy and high workload, and risk for Reduced Personal Accomplishment due to low recognition.

The risk is determined by evaluating the imbalance between stressors like workload and low autonomy against protective factors like recovery time.

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