Enables agents to control a real Chromium browser with semantic tools, providing compact observations and outcome-verified actions for web interaction tasks.
Provides browser automation tools for coding agents—goto, browse, goal, page_state, and summary—so agents can drive real pages through auditable, gated decisions and record traces for offline replay.
Enables AI agents and developers to automate real Chrome/Chromium browsers through the Chrome DevTools Protocol, with token-efficient snapshots, multi-action batching, shadow DOM traversal, system-page control, extension management, and network/WebSocket inspection.
Enables LLMs to perform browser automation including web navigation, element interaction, and screenshot capture using Puppeteer. It provides capabilities for executing JavaScript in the browser and monitoring console logs for debugging and data extraction.
Provides browser automation tools for AI assistants via the Model Context Protocol, enabling tasks like navigation, clicking, filling forms, screenshots, and script execution through natural language.