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AI Feature Accessibility Scorer

AI Feature Accessibility Scorer MCP Connector for Claude

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Assess accessibility health for AI features using WCAG standards.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
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This MCP server provides specialized diagnostic tools to evaluate the accessibility of AI-driven software features. It analyzes compliance with WCAG standards, evaluates the quality of AI-generated descriptions for visual assets, and validates keyboard navigation patterns. Use calculate_feature_score for a high-level health assessment, analyze_content_description to check if AI-generated alt text is sufficient, check_navigation_flow to detect keyboard focus traps, and get_compliance_gaps to identify specific technical failures.

wcagaccessibilityai-safetycomplianceux-audit

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

analyze_content_description

Evaluates the quality of text descriptions generated by the AI for visual assets

check_navigation_flow

Validates if the AI interaction patterns are usable via keyboard

get_compliance_gaps

Retrieves a detailed list of specific failures against the selected WCAG standard

calculate_feature_score

Provides the primary high-level accessibility health assessment for a specific AI feature

See how to talk to your AI agent using AI Feature Accessibility Scorer.

What is the accessibility score for feature 'chat-ui-01' at WCAG AA level?

The accessibility score for 'chat-ui-01' at WCAG AA level is 85. There are 2 minor compliance gaps identified.

Is the following description sufficient for an image of a sunset: 'A bright orange sun setting over the ocean'?

The description quality score is 75. It provides basic clarity but lacks detail regarding the colors of the sky or the movement of the water.

Check if the navigation flow for 'image-gen-tool' is keyboard accessible.

The navigation flow is keyboard navigable. No focus traps were detected in the provided interaction steps.

The score is a weighted aggregate of WCAG compliance, navigation efficiency, and the quality of AI-generated content descriptions via `calculate_feature_score`.

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