Enables AI agents to fully control Google Chrome: navigate, click, fill forms, inspect DevTools, and manage tabs with parallel execution and session isolation.
Enables multiple autonomous agents to concurrently control separate tabs in a single Chrome instance, with features like semantic search and network monitoring.
Controls a real Chrome browser for AI agents, enabling authenticated automation with parallel lanes, token-efficient page reads, and robust recovery mechanisms.
Enables MCP-compatible AI agents to securely control Chrome tabs via a local bridge, with explicit per-tab sharing and human approval for consequential actions.
Enables AI agents to control Chrome browser actions like navigation, clicking, form filling, screenshots, and console/network logging via an MCP server and Chrome extension.
Enables AI agents to interact with a user's real Chrome browser tabs, executing JavaScript, reading cookies, and making fetch requests within authenticated sessions.