MCP For Claude Marketplace
Resilience Scale Scorer

Resilience Scale Scorer MCP Connector for Claude

A+

Analyzes psychological resilience questionnaires to provide standardized scoring and personalized growth strategies.

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

This MCP server provides a complete suite for psychological resilience assessment. It allows AI agents to process raw questionnaire data using validate_responses to ensure data integrity. Once validated, agents can use calculate_resilience_score to determine a user's total score and qualitative category. For deeper insights, compare_to_norms evaluates how an individual's resilience compares to demographic benchmarks, while get_recommendations provides actionable, domain-specific advice to strengthen identified weaknesses.

resiliencepsychologyscoringassessmentwellness

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

calculate_resilience_score

Computes the raw and categorized resilience profile based on questionnaire responses

compare_to_norms

Evaluates how an individual's resilience compares to standard population benchmarks

get_recommendations

Provides actionable advice for improving resilience based on specific domain weaknesses

validate_responses

Ensures the integrity and format of the raw questionnaire data before processing

See how to talk to your AI agent using Resilience Scale Scorer.

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

The responses are valid and within the expected range for the cd-risc scale.

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

The total resilience score is 16, which falls into the High category.

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

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

The server supports validated scales such as the CD-RISC through the `calculate_resilience_score` tool.

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