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 coding agents to visually interact with frontend apps by taking screenshots, clicking elements, reading console logs, and performing visual diffs.
Enables AI agents to see, analyze, and visually verify web page changes through pixel-perfect diffing, theme extraction, layout analysis, and interactive element detection.
An instrumented local browser daemon MCP server that lets coding agents verify UIs in one call, with console, network, layout, accessibility, and coverage checks, plus debugging tools. It provides named isolated sessions and a CLI+MCP duality for the same verbs.
Enables AI agents to automate and debug real Chromium browsers with capabilities like screenshots, video recording, performance analysis, visual regression testing, and OCR text extraction.