Enables AI coding assistants to test web accessibility by scanning URLs, detecting violations, and running focused audits on keyboard navigation, screen reader compatibility, and WCAG criteria — all within the assistant's loop.
Autonomous WCAG 2.1 accessibility auditor that scans, fixes, re-verifies, and generates VPAT 2.5 EN 301 549 reports using AI vision analysis + DOM scanning.
Enables AI agents to perform comprehensive accessibility audits on websites using Playwright and axe-core against WCAG standards. Provides detailed compliance reports with violation summaries and remediation guidance across multiple browsers.
Connects Claude to a live Chrome browser's accessibility tree to generate stable, framework-agnostic test selectors and perform accessibility audits. It enables users to read element roles and states exactly as a screen reader would to help write, debug, and migrate test suites using natural language.