# Resilience Scale Scorer AI Agent Connect

> Resilience Scale Scorer MCP automates the heavy lifting of psychological assessment. Your AI client can validate raw questionnaire responses, calculate specific resilience scores, compare individual results against demographic benchmarks, and generate targeted advice to address identified weaknesses.

## Overview
- **Category:** analytics
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_uq0t9rhzQWX8VbCU8OidpG8XOxM3T0xabcY20E3a/ai-agent-connect
- **Tags:** resilience, psychology, scoring, assessment, wellness

## Description

You can stop manually grading psychological assessments. This MCP gives your AI agent the ability to handle the entire resilience scoring pipeline. You feed it raw questionnaire data, and it handles the math and the logic. It starts by checking the integrity of the data to make sure the responses are valid and formatted correctly. Once the data is clean, your agent calculates the total score and places the user into a specific qualitative category. 

If you need more context, the MCP compares these scores to standard population benchmarks, giving you a clear picture of where a person stands relative to their demographic. Finally, it generates specific, domain-focused recommendations to help users improve their resilience in areas where they scored low. It turns a pile of numbers into a structured psychological profile that you can actually use in a clinical or coaching setting.

## Tools

### calculate_resilience_score
This tool computes the raw and categorized resilience profile based on the questionnaire responses you provide.

### compare_to_norms
Use this to evaluate how an individual's resilience score stacks up against standard population benchmarks.

### get_recommendations
This tool provides actionable advice for improving resilience by targeting specific domain weaknesses.

### validate_responses
This tool ensures the integrity and format of raw questionnaire data before any processing begins.

## Prompt Examples

**Prompt:** 
```
Validate these responses for the cd-risc scale: [4, 3, 2, 4, 1].
```

**Response:** 
```
The responses are valid and within the expected range for the cd-risc scale.
```

**Prompt:** 
```
Calculate the resilience score for these responses: [3, 4, 3, 2, 4] using the cd-risc scale.
```

**Response:** 
```
The total resilience score is 16, which falls into the High category.
```

**Prompt:** 
```
How does a score of 15 on the cd-risc scale compare for a 30-year-old in North America?
```

**Response:** 
```
A score of 15 is in the 65th percentile, which is considered Above Average for this demographic.
```

## Capabilities

### Data Validation
Your agent checks questionnaire inputs for errors before running calculations.

### Automated Scoring
The MCP converts raw numbers into categorized resilience profiles.

### Demographic Benchmarking
Your AI compares individual scores to population norms.

### Targeted Advice
The tool generates specific recommendations based on identified weaknesses.

## Use Cases

### Clinical Assessment
A clinician provides raw CD-RISC responses to the AI to quickly categorize a patient's resilience level.

### Personalized Coaching
A coach uses the recommendations tool to build a custom improvement plan for a client.

### Population Studies
A researcher compares a specific group's resilience scores against standard norms to identify trends.

### Data Cleaning
An analyst uses the validation tool to ensure survey data is ready for scoring.

## Benefits

- Eliminates manual calculation errors in psychological scoring.
- Provides instant demographic context for individual scores.
- Generates domain-specific advice based on actual data results.

## How It Works

Connecting this MCP to your AI client gives you a complete assessment pipeline.

1. Connect your AI client to the Vinkius-hosted MCP.
2. Provide the raw questionnaire responses to your agent.
3. The agent validates the data integrity using the validation tool.
4. The agent calculates the score and compares it to demographic norms.
5. The agent outputs the final profile and specific growth recommendations.

## Frequently Asked Questions

**What AI clients can use this MCP?**
You can use this MCP with any compatible client, including Claude, Cursor, Windsurf, and VS Code.

**Do I need to host the MCP myself?**
No, Vinkius hosts and manages the MCP for you. You just connect your client and start using the tools.

**Can this tool handle different resilience scales?**
The tool is designed to process questionnaire data like the CD-RISC scale to provide scores and categories.

**How does the scoring work?**
The MCP uses the calculate_resilience_score tool to turn raw responses into a total score and a qualitative category.

**Can I compare scores to specific demographics?**
Yes, the compare_to_norms tool allows your agent to evaluate scores against standard population benchmarks.