browser-use-mcp-server
A powerful MCP server that allows AI agents to automate and control web browsers. Supports both SSE and stdio protocols, providing real-time VNC streaming for browser actions. Facilitates asynchronous browser operations, ideal for AI-driven web automation workflows.
Added on:
Created by:
Apr 28 2025
A powerful MCP server that allows AI agents to automate and control web browsers. Supports both SSE and stdio protocols, providing real-time VNC streaming for browser actions. Facilitates asynchronous browser operations, ideal for AI-driven web automation workflows.
Added on:
Created by:
Apr 28 2025
CoBrowser
Featured
What is browser-use-mcp-server?
This MCP server is designed to enable AI agents to manage web browsers seamlessly. It incorporates browser automation through the browser-use library, supporting real-time VNC streaming for visual monitoring. The server supports dual transport modes: Server-Sent Events (SSE) and stdio, offering flexible communication options. It is built on Python and Playwright, offering robust and scalable browser control. Users can configure and deploy the server easily using Docker or direct installation, facilitating large-scale automation tasks, testing, and AI-powered browsing. The server also supports asynchronous task execution, making it suitable for complex, multi-step automation workflows in various environments.
Who will use browser-use-mcp-server?
- AI developers
- Automation engineers
- Web scraping professionals
- QA testers
- Browser automation enthusiasts
How to use the browser-use-mcp-server?
- Step1: Install prerequisites such as uv, Playwright, and mcp-proxy
- Step2: Clone the repository and set up environment variables, including OpenAI API key
- Step3: Install dependencies and run Playwright install commands
- Step4: Choose mode (SSE or stdio) and run the server using UV command
- Step5: Configure client settings with server URL or command-line args
- Step6: Access browser control capabilities and monitor via VNC if needed
browser-use-mcp-server's Core Features & Benefits
The Core Features
- Browser automation control
- Dual transport support (SSE & stdio)
- Real-time VNC streaming
- Async task execution
The Benefits
- Enables AI-driven web automation
- Provides real-time browser visual monitoring
- Flexible deployment options (Docker, local)
- Supports scalable multi-server setups
browser-use-mcp-server's Main Use Cases & Applications
- AI-powered web browsing automation
- Automated testing and quality assurance
- Web scraping with visual monitoring
- Large-scale browser management in AI workflows
FAQs of browser-use-mcp-server
Developer
- co-browser
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