# Resilience Score Assessment MCP

> Resilience Score Assessment quantifies psychological resilience using the CD-RISC scale. Input survey responses and immediately calculate a total score and overall level (Low, Moderate, High). The system also pinpoints specific dimensions—like Control or Adaptability—that need attention, giving you deep data on an individual's ability to bounce back from stress.

## Overview
- **Category:** analytics
- **Price:** Free
- **Tags:** resilience, psychological-assessment, cd-risc, mental-health, data-analysis

## Description

When you administer psychological surveys, getting just a single number isn't enough. You need to know what that score actually means for the person taking it. This MCP takes raw survey answers and runs them through a specialized assessment based on the Connor-Davidson Resilience Scale. It doesn't just give a total score; it breaks down where the stress points are, showing you if someone’s difficulty lies in adapting or maintaining focus. Your agent processes the responses to deliver an aggregate resilience level—Low, Moderate, or High—and pinpoints which core dimensions might be vulnerable. By connecting this MCP through Vinkius, your AI client can generate structured reports that go far beyond simple averages. You get actionable insights into an individual's capacity to cope with adversity, letting you guide targeted support rather than guessing what’s wrong.

## Tools

### analyze_dimension_vulnerability
Checks and reports which specific psychological dimensions are performing below average.

### calculate_resilience_score
Generates the total resilience score for a set of responses, assigning an overall level (Low, Moderate, or High).

### get_dimension_breakdown
Provides the raw numerical scores for every measured psychological dimension.

## Prompt Examples

**Prompt:** 
```
Calculate the resilience score for these responses: {"q1": 5, "q2": 4, "q3": 2, "q4": 5, "q5": 3, "q6": 4}.
```

**Response:** 
```
The total resilience score is 23, which corresponds to a High level of resilience.
```

**Prompt:** 
```
Check if any dimensions are vulnerable in this assessment: {"q1": 1, "q2": 5, "q3": 5, "q4": 5, "q5": 5, "q6": 5}.
```

**Response:** 
```
The vulnerable dimension identified is: Control.
```

**Prompt:** 
```
Show me the breakdown of scores by dimension for these responses: {"q1": 4, "q2": 2, "q3": 5, "q4": 4, "q5": 1, "q6": 5}.
```

**Response:** 
```
The scores by dimension are: Control: 6, Adaptability: 3, Perseverance: 10.
```

## Capabilities

### Calculate total resilience score
The system processes responses and generates a single total score and corresponding overall resilience level.

### Identify vulnerable dimensions
It analyzes the data to pinpoint specific psychological areas that fall below an average benchmark.

### Get raw dimension scores
You receive a detailed breakdown of the individual's performance across all measured psychological dimensions.

## Use Cases

### Assessing team readiness after a major layoff.
A manager needs to know if the recent restructuring impacted morale. They feed anonymized survey data into the MCP. The agent uses analyze_dimension_vulnerability and reports that 'Control' is the weakest dimension, suggesting leadership immediately host workshops focused on restoring personal autonomy.

### Profiling a new employee for high-stress roles.
HR runs pre-employment screening data through the MCP. They use calculate_resilience_score to get an overall level and then use get_dimension_breakdown to ensure 'Perseverance' scores are adequate before assigning them to client-facing crisis management.

### Following up with clients who scored low on initial testing.
A therapist gets a set of responses. Instead of just seeing a 'Low' score, they use get_dimension_breakdown to see that the client is struggling specifically in 'Adaptability.' This allows them to tailor their next session plan precisely.

### Comparing pre- and post-intervention group scores.
A corporate wellness team runs two sets of data. They use calculate_resilience_score on both, then run analyze_dimension_vulnerability to quantify if the intervention successfully boosted specific dimensions like 'Adaptability' across the whole cohort.

## Benefits

- Get a total picture immediately. Use calculate_resilience_score to get an overall score and level in one step, eliminating the need for manual aggregation of individual questions.
- Pinpoint exact weakness. analyze_dimension_vulnerability tells you *where* the resilience is failing—is it control? adaptability? Knowing this directs resources better than a general warning.
- Deep dive capability. get_dimension_breakdown gives you the raw scores, letting your agent show exactly how much each dimension contributed to the final result for deeper analysis.
- Saves hours of review time. Instead of reading through dozens of paper assessments and charting results by hand, your AI client processes it instantly.
- Focuses on action. The system doesn't just flag a low score; it provides enough detail via analyze_dimension_vulnerability to suggest specific training or interventions.

## How It Works

The bottom line is that you move from raw survey data straight to actionable psychological insight without manual calculation or interpretation.

1. Feed your AI client the survey responses or data points collected from the participant.
2. The MCP processes these answers, running them through the CD-RISC framework to calculate scores and analyze dimensional performance.
3. Your agent receives a structured report detailing the total score, overall level, and any identified areas of vulnerability.

## Frequently Asked Questions

**How does Resilience Score Assessment use raw data?**
It takes your collected survey answers, whether they are scaled ratings or multiple-choice responses, and processes them using the established CD-RISC framework to generate scores.

**What do the dimensions in Resilience Score Assessment mean?**
The core dimensions measured are Control, Adaptability, and Perseverance. These represent key areas of psychological strength related to coping with stress or difficulty.

**Can I use calculate_resilience_score for multiple groups?**
Yes. You can batch process data from different cohorts—like pre-intervention vs. post-intervention scores—to compare overall resilience levels across groups easily.

**What if my client scored low on Resilience Score Assessment?**
The MCP helps by not just stating 'low.' It uses analyze_dimension_vulnerability to tell you *why* the score is low, directing your focus to the precise area for intervention.

**Does this assess mental illness?**
No. This MCP assesses psychological resilience—the capacity to cope with stress and adversity—using a standardized scale, but it does not diagnose medical or mental health conditions.