MCP For Claude Marketplace
Depression Screening Scorer

Depression Screening Scorer MCP Connector for Claude

A+

Clinical tool for scoring PHQ-9 depression assessments and analyzing symptom clusters.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

This MCP server provides clinical utility for processing responses from validated depression screening instruments like the PHQ-9. It allows AI agents to calculate total scores, determine severity categories, and perform granular symptom domain analysis. Using score_phq9, agents can obtain a full assessment including clinical recommendations. The analyze_symptom_clusters tool identifies specific physiological or emotional impacts, while evaluate_risk_flags identifies critical items requiring immediate attention. It is designed to assist practitioners in determining levels of care based on standardized clinical protocols.

phq-9depressionclinical-scoringmental-healthscreening

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

analyze_symptom_clusters

Provides a granular view of which physiological or emotional domains are most affected

evaluate_risk_flags

Specifically checks for critical items that require immediate attention, regardless of the total score

get_severity_thresholds

Retrieves the scoring ranges used to define clinical severity

score_phq9

Calculates the comprehensive depression score and severity for a single PHQ-9 assessment

See how to talk to your AI agent using Depression Screening Scorer.

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

The total score is 5, which falls into the Minimal depression category.

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

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

What are the severity thresholds for the USA?

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

Provide an array of 9 integers (ranging from 0 to 3) representing the PHQ-9 responses to the `score_phq9` tool.

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