An MCP server that launches multiple Browser-Use agents to test websites for UI bugs, broken links, and accessibility issues. It supports automated testing of both live and localhost development sites using natural language prompts.
Browser-based QA testing for AI-built software. Agents open real browsers (via Selenium), navigate pages, fill forms, click buttons, and report findings. Two modes: targeted tests (30-90s) and full-site discovery scans (3-15min).
Enables AI agents to perform comprehensive web application testing including visual, functional, performance, accessibility, and SEO analysis using browser automation without requiring API keys.
Enables AI coding agents to autonomously interact with and test web applications in a real browser, providing DOM/Accessibility tree extraction, runtime telemetry, screenshot capture, and Markdown test reports.
Enables AI to perform real-browser QA testing on websites via Playwright, finding bugs, accessibility, SEO, and performance issues through natural language conversations.
