# Burnout Detector MCP for AI Agents MCP

> Burnout Detector uses the Maslach Burnout Inventory (MBI) model to give a quantified assessment of professional burnout risk. This MCP processes raw survey scores into actionable diagnostic data, breaking down an individual's status across three key areas: Emotional Exhaustion, Depersonalization, and Personal Accomplishment. It moves beyond general feelings by providing specific, measurable metrics that help diagnose the severity and type of workplace stress.

## Overview
- **Category:** productivity
- **Price:** Free
- **Tags:** burnout, mbi, mental-health, assessment, diagnostic

## Description

Figuring out burnout used to be a vague conversation about 'feeling tired.' Now, you can quantify it. This MCP gives your AI agent a diagnostic tool based on the established Maslach Burnout Inventory (MBI) model. Instead of just guessing, you feed in survey data and get precise metrics across three dimensions: Emotional Exhaustion, Depersonalization, and Personal Accomplishment. The system processes these scores to identify risk tiers—low, moderate, or severe. When working within the Vinkius catalog, this connector acts as a specialized diagnostic layer for your AI client, taking complex well-being data and turning it into clear risk assessments. You get immediate insight into where an employee's professional stress is coming from, allowing HR or wellness teams to intervene with targeted support.

## Tools

### calculate_burnout_metrics
Takes raw survey scores and calculates specific, quantitative burnout metrics for the user.

### get_dimension_health_status
Provides a detailed health status report on one of the three core burnout dimensions (e.g., Depersonalization).

### evaluate_risk_level
Consolidates all available metrics to give an immediate, overall assessment of the user's professional risk level.

## Prompt Examples

**Prompt:** 
```
Run diagnostics for a team that finished a massive product launch. My average exhaustion score was 92, depersonalization was 85, and accomplishment was 15.
```

**Response:** 
```
## Burnout Risk Assessment

Based on the Maslach model inputs:
*   **Emotional Exhaustion:** High (92)
*   **Depersonalization:** Very High (85)
*   **Personal Accomplishment:** Low (15)

**Overall Risk Level: Severe.** The combination of high emotional drain and detachment with minimal sense of achievement signals immediate burnout risk. Mandatory time off or a significant process review is advised.
```

**Prompt:** 
```
What's the status for 'Personal Accomplishment' if scores are 80, 95, and 70?
```

**Response:** 
```
**Dimension Health Status: Personal Accomplishment**

*   Score Provided: 80/100*
*   Health Status: Stable (Positive)
*   Interpretation: The score suggests the individual maintains a strong sense of capability in their role, which is a positive factor for overall resilience.
```

**Prompt:** 
```
Calculate my metrics with exhaustion scores [75, 80] and depersonalization scores [60, 70].
```

**Response:** 
```
**Burnout Metrics Calculation**

| Dimension | Mean Score |
| :--- | :--- |
| Emotional Exhaustion | 77.5 |
| Depersonalization | 65.0 |

Your overall index is being processed for a full risk evaluation.
```

## Capabilities

### Calculate detailed burnout scores
It processes raw survey responses to generate specific quantitative metrics for the overall burnout index.

### Check dimension status
You can pull a health status report on any single burnout dimension, like Emotional Exhaustion or Personal Accomplishment.

### Determine risk level
The system evaluates the combined scores and outputs an overall professional burnout risk rating from low to severe.

## Use Cases

### Analyzing annual employee survey results
An HR Manager inputs hundreds of anonymous survey scores. The agent uses `calculate_burnout_metrics` across all participants, generating a heat map that immediately shows which department has the highest average emotional exhaustion scores.

### Assessing leadership team readiness
A Wellness Coordinator runs the Burnout Detector on a small group of senior leaders. The agent uses `evaluate_risk_level` and notes that several key managers are in 'Severe' risk, requiring immediate mandatory leave.

### Monitoring stress during project crunch time
A team lead inputs daily check-in data for a critical quarter. The agent uses `get_dimension_health_status` to track Depersonalization week over week, identifying when the team started emotionally checking out.

### Benchmarking program efficacy
An Organizational Psychologist compares pre- and post-intervention scores. By running metrics before and after a training module, they prove that Personal Accomplishment increased significantly in the target group.

## Benefits

- Instead of vague concerns, you get hard metrics. By running `calculate_burnout_metrics`, your agent provides precise scores for exhaustion and accomplishment.
- The tool moves beyond simple status checks. Using `get_dimension_health_status` lets you pinpoint exactly which area—like Depersonalization—needs the most attention.
- It cuts through complexity with a clear verdict. The ability to `evaluate_risk_level` gives management an immediate, actionable risk rating (Low, Medium, Severe).
- You can analyze trends over time. Running these diagnostics allows organizations to prove where systemic stress is occurring, not just blaming individuals.
- It standardizes the diagnosis process by adhering strictly to the recognized Maslach Burnout Inventory model.

## How It Works

The bottom line is that you get professional well-being data structured into actionable risk metrics.

1. Input raw survey data, providing specific numerical scores for various dimensions of exhaustion, depersonalization, and accomplishment.
2. The MCP calculates the combined metrics against established MBI criteria, generating a diagnostic profile.
3. You receive a clear assessment: an overall risk level (e.g., Moderate) alongside detailed status reports for each dimension.

## Frequently Asked Questions

**How does the Burnout Detector MCP help quantify stress beyond just saying 'you feel tired'?**
It quantifies stress by breaking it into three measurable areas: Emotional Exhaustion, Depersonalization, and Personal Accomplishment. This gives you a diagnostic picture of *why* someone is struggling, not just that they are.

**Can I use the Burnout Detector MCP to see if my team's stress levels are going up or down?**
Yes. You can run these diagnostics repeatedly over time using your agent. Comparing metrics across weeks helps you spot trends, like a creeping increase in exhaustion scores that signal a coming crisis.

**What kind of data does the Burnout Detector MCP need to perform an assessment?**
The tool needs raw survey input—numerical scores for different segments related to effort, detachment, and achievement. The more structured score data you provide, the better the diagnosis.

**Is the risk level reported by Burnout Detector reliable enough for HR actions?**
It is highly standardized because it uses the established Maslach Burnout Inventory model, providing objective metrics. This moves conversations from subjective feelings to measurable professional health status.

**If I only care about emotional drain, can the Burnout Detector MCP assess that?**
Absolutely. You use the specific tools within the MCP to pull a detailed health status report on any single dimension, giving you deep insight into one area without being distracted by the others.