Enables AI coding assistants to control and inspect a live Chrome browser through Chrome DevTools. Provides browser automation, performance analysis, debugging capabilities, and network request monitoring.
MCP server for browser automation that lets LLMs interact with web pages through structured accessibility snapshots, bypassing the need for screenshots.
Enables AI agents to navigate and interact with web pages through compressed semantic graphs, using element IDs and coordinates for clicking, typing, selecting, scrolling, and screenshots without raw HTML or CSS selectors.
Enables AI agents to automate real Chrome via a structured Semantic Action Graph, without screenshots, CDP, or bot detection. It supports clicks, form filling, navigation, and state diffs on strict-CSP sites and modern SPAs.
Enables AI agents to understand web page structure and content through structured data extraction and element discovery using Playwright, eliminating the need for screenshots.
Reachability-filtered browser perception and actions for AI agents. Filters snapshots to elements a user could actually reach (removes modal-occluded, closed-drawer, off-screen and inert elements), with ref-stable snapshots and state diffs.
Enables AI agents to perceive and interact with web interfaces by extracting a unified UI Scene Graph from live URLs, providing tools for navigation, element detection, visual analysis, and state tracking.
