Enables AI agents and MCP clients to safely control the user's real Chrome browser, using shared tabs with per-site approvals, credential-field protection, a kill switch, and an activity log.
Enables AI agents to request and receive user-granted, short-lived access to a single tab in the user's existing Chromium-based browser, then read, highlight, scroll, and navigate within that granted page without exposing other tabs or copying the browser profile.
Enables MCP clients to operate an already-logged-in Chrome tab through a browser extension and chrome.debugger, exposing navigation, page reading, interaction, screenshots, cookies/storage, network and console debugging, downloads, and batch actions under default-deny safety guards.
Enables an AI agent to read and operate the Chrome or Edge tabs you are already using — titles, URLs, text, HTML, screenshots, clicks, typing, scrolling, and tab management — via a browser extension and native messaging, without restarting the browser, switching profiles, or opening a debug port. It exposes these capabilities as 19 MCP tools, with access limited to explicitly shared tabs and hardened by per-tab, origin-bound grants plus domain allow/deny lists.
Enables AI clients to control a real, visible Chrome via MCP for navigating, clicking, typing, downloading files, and reading page content. Supports isolated CDP and everyday-Chrome extension modes with user confirmations for risky actions.
Enables MCP-compatible AI assistants to drive the user's real, already-logged-in Chrome browser locally, so they can read and summarize pages, click, type, fill and submit forms, navigate tabs, and capture screenshots with full access to existing sessions. It also exposes cookies, storage, console, network capture, and emulation capabilities without opening a remote-debugging port or sending data off the machine.
