This MCP server for browser-use, developed by JovaniPink, integrates the browser-use library with Anthropic's Model Context Protocol to enable AI agents to interact with web browsers through natural language. Built with Python and FastAPI, it provides a powerful browser automation system with features like vision-based element detection, structured JSON responses, and persistent state management. The implementation focuses on flexibility, supporting multiple model providers and customizable browser settings. It's particularly useful for developers and AI researchers working on web automation, web scraping, or AI-assisted browsing tasks, enabling complex use cases like automated form filling, content extraction, and visual web interaction without dealing directly with browser APIs.
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Go to URLs, back/forward, refresh the page.
Perform actions like click, type, scroll, and hover on elements.
Fill out forms, submit them, and select options.
Get page content and take screenshots.
Create, close, and switch between browser tabs.
Find elements by their visual appearance.
Manage browser state, including cookies and local storage.