WCAGent: Open-Source AI Agent for Automated Accessibility QA

An autonomous AI accessibility QA agent called WCAGent has been open-sourced. It uses LLMs and MCPs (Model Context Protocols) to observe, reason, and act on accessibility violations via a CLI interface.

Key Features

• Detects WCAG violations — scans web pages for accessibility issues per WCAG standards
• Assigns severity levels — classifies each violation (critical, serious, moderate, minor)
• Generates detailed reports — outputs structured reports with violation details and remediation suggestions
• Automatically raises GitHub issues — creates actionable GitHub issues for each violation, so devs can track fixes directly in their workflow
• Works like an actual QA engineer — instead of just dumping raw scan results, WCAGent reasons about the context and provides human-readable feedback

How It Works

WCAGent runs as a CLI tool. It leverages LLMs to interpret accessibility rules and MCPs to interact with external systems (like GitHub). The agent can be invoked with a URL to audit, and it returns a report with severity tags and auto-generated GitHub issues.

Get Started

Clone the repo and run:

git clone https://github.com/AbhishekX-dev/WCAGent-ai-agent.git
cd WCAGent-ai-agent
pip install -r requirements.txt
python wcagent.py --url https://example.com

Full documentation and setup instructions are on the GitHub page.

Who It's For

This tool is aimed at developers and QA engineers who need to integrate accessibility checks into CI/CD pipelines without manual intervention.