Enables automated end-to-end testing and verification of web applications through natural language, with self-healing selectors and dual-mode execution.
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 creation of reusable browser automation skills through demonstration by recording user actions in a browser while narrating, then converting those workflows into executable skills that can be invoked through natural language.
Enables AI assistants to perform automated web testing by controlling a Chrome browser to navigate, interact with pages, capture screenshots, extract console logs, and simulate mobile devices for responsive design testing.
Enables plain-English browser automation via an MCP server, allowing agents to run objectives or test suites in a real browser without selectors or scripts.