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Control your browser with AI via Model Context Protocol (MCP). Navigate, interact, and capture screenshots with BrowseMCP. BrowseMCP - The AI Agent Browser Interface Unlock the power of AI-driven browser automation with the official BrowseMCP extension. BrowseMCP is the essential bridge between your AI agents and the modern web. Built on the Model Context Protocol (MCP), this extension allows local AI models and agents to interact with your browser as easily as a human user does. Whether you are building autonomous research assistants, testing workflows, or automating complex web tasks, BrowseMCP provides the reliable, low-latency control layer you need. 🚀 How It Works BrowseMCP connects your browser to your local MCP server via a secure WebSocket connection. Once connected, your AI agents can "see" and "act" within the browser instance, executing commands in real-time while you watch or run them in the background. ✨ Key Features Full Navigation Control: AI can open tabs, navigate to URLs, go back/forward, and reload pages. Human-Like Interaction: Perform precise actions like clicking, typing, scrolling, hovering, and selecting options. Visual Context: Agents can capture screenshots to understand page layout and visual elements instantly. DOM Inspection: detailed access to getting page HTML, element text, attributes, and checking for the existence of selectors. State Management: Read and manage cookies to handle authenticated sessions and complex login flows. JavaScript Execution: reliability execute custom scripts for advanced automated tasks. 🛠️ Perfect For AI Developers: Test and debug agent capabilities in a real browser environment. Automation Engineers: Script complex workflows using standard MCP commands. Research & Data: Enable agents to browse, read, and summarize web content autonomously. 🔒 Privacy & Security BrowseMCP is designed to work locally. It connects to your local machine's localhost environment, ensuring that your browsing data and control instructions stay within your own infrastructure. Get Started Install the BrowseMCP Extension. Start your local BrowseMCP server (or compatible MCP agent). Click the extension icon to connect. Unleash your AI agent on the web!