Burnout Detector

Burnout Detector MCP Connector for Claude

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Assess burnout risk using the Maslach Burnout Inventory (MBI) model.

3 tools Official Updated Jun 28, 2026 Official Vinkius Partner

The Burnout Detector MCP server provides a specialized diagnostic tool based on the Maslach Burnout Inventory (MBI). It allows AI agents to quantify three critical dimensions of professional burnout: Emotional Exhaustion, Depersonalization, and Personal Accomplishment. Using tools like calculate_burnout_metrics, evaluate_risk_level, and get_dimension_health_status, users can process survey data to identify risk tiers ranging from Low to Severe. This server acts as a bridge for AI clients like Cursor, VS Code, Claude Desktop, and Windsurf to access professional well-being assessments via Vinkius Edge.

burnoutmbimental-healthassessmentdiagnostic

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

calculate_burnout_metrics

Calculate burnout metrics from survey scores

get_dimension_health_status

Get the health status of a specific burnout dimension

evaluate_risk_level

Evaluate the overall burnout risk level

See how to talk to your AI agent using Burnout Detector.

Calculate my burnout metrics with these exhaustion scores: [80, 90] and depersonalization scores: [70, 75].

The calculated emotional exhaustion score is 85.0, the depersonalization score is 72.5, and your overall burnout index is being processed.

What is my risk level if my exhaustion is 90, depersonalization is 85, and accomplishment is 10?

Your risk level is Severe. The high levels of exhaustion and depersonalization combined with very low accomplishment indicate extreme burnout.

Check the health status for 'Personal Accomplishment' with a score of 85.

The status for Personal Accomplishment is Stable, and this represents a positive trend in your professional well-being.

It is a diagnostic tool based on the Maslach Burnout Inventory (MBI) that evaluates emotional exhaustion, depersonalization, and personal accomplishment.

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