# Depression Screening Scorer AI Agent Connect

> Depression Screening Scorer is a clinical tool that lets your AI client process PHQ-9 responses. It handles the math for total scores, identifies severity levels, and flags critical symptoms. You can use it to pull specific symptom clusters or check for immediate risk factors, helping you determine necessary levels of care based on standard protocols.

## Overview
- **Category:** healthcare
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_AjWMLLw9NUfy4vzD2cbYA11h7vbXrTYCUEL2jCVT/ai-agent-connect
- **Tags:** phq-9, depression, clinical-scoring, mental-health, screening

## Description

You can use this MCP to turn raw PHQ-9 responses into actionable clinical data. Instead of manually calculating scores or scanning lists for red flags, you let your AI agent handle the heavy lifting. It processes the numerical inputs to determine exact severity categories and provides a granular look at which physiological or emotional domains are most affected. If a patient reports a critical symptom, the tool identifies it immediately, regardless of what the total score says. This makes it a practical way to support clinical decision-making and ensure that high-risk indicators don't get lost in the data. It's built to follow standardized protocols, so the outputs align with established clinical scoring ranges.

## Tools

### analyze_symptom_clusters
This tool provides a granular view of which physiological or emotional domains are most affected by the patient's symptoms.

### evaluate_risk_flags
This tool specifically checks for critical items that require immediate attention, even if the total score is low.

### get_severity_thresholds
This tool retrieves the specific scoring ranges used to define clinical severity levels.

### score_phq9
This tool calculates the total depression score and the corresponding severity for a single PHQ-9 assessment.

## Prompt Examples

**Prompt:** 
```
Score this PHQ-9 assessment: [1, 0, 2, 1, 0, 0, 1, 0, 0]
```

**Response:** 
```
The total score is 5, which falls into the Minimal depression category.
```

**Prompt:** 
```
Analyze the symptom clusters for these responses: [0, 0, 0, 0, 0, 0, 0, 0, 3]
```

**Response:** 
```
The analysis shows a high impact in the critical risk domain due to the reported symptom.
```

**Prompt:** 
```
What are the severity thresholds for the USA?
```

**Response:** 
```
In the USA, the categories are: Minimal (0-4), Mild (5-6), Moderate (7-9), Moderately Severe (10-14), and Severe (15-27).
```

## Capabilities

### Automated PHQ-9 Scoring
Your agent uses this to calculate total scores and severity from raw response arrays.

### Critical Risk Detection
The AI checks for high-priority flags that demand immediate clinical attention.

### Symptom Domain Analysis
Your agent identifies specific physiological or emotional patterns within the assessment data.

### Severity Mapping
The tool maps numerical scores to standardized clinical severity categories.

## Use Cases

### Rapid Patient Intake
An agent processes a patient's completed PHQ-9 to immediately flag high-risk symptoms for the clinician.

### Clinical Trend Monitoring
You use the symptom cluster tool to see how specific emotional domains change over multiple assessments.

### Risk Assessment Automation
The AI scans responses to find critical flags that might be missed during a manual review of total scores.

### Standardized Reporting
Your agent uses the severity thresholds to categorize patient data for clinical documentation.

## Benefits

- Reduces manual calculation errors by automating PHQ-9 scoring.
- Highlights critical risk items that require immediate intervention.
- Provides detailed breakdowns of symptom clusters for deeper analysis.
- Standardizes severity categorization based on clinical protocols.

## How It Works

Connecting this MCP to your AI client gives you direct access to clinical scoring tools.

1. Connect your preferred MCP-compatible client to Vinkius.
2. Provide the PHQ-9 response data to your AI agent.
3. The agent calls the necessary scoring or analysis tools.
4. The MCP returns the calculated scores, severity, or risk flags.
5. Your agent presents the clinical findings to you.

## Frequently Asked Questions

**What clinical instruments does this MCP support?**
This MCP is specifically designed for the PHQ-9 depression screening instrument.

**Can the AI identify high-risk patients?**
Yes, the evaluate_risk_flags tool checks for critical items that require immediate attention regardless of the total score.

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

**Does it provide symptom-specific details?**
Yes, the analyze_symptom_clusters tool provides a granular view of affected physiological or emotional domains.

**How are severity levels determined?**
The MCP uses standardized clinical protocols and provides the specific scoring ranges via the get_severity_thresholds tool.