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    Browser Use Mcp Client

    A MCP client for browser-use

    38 stars
    TypeScript
    Updated Oct 16, 2025
    automation
    browser-use
    mcp
    mcp-client
    mcp-server

    Table of Contents

    • 🎥 Demo
    • 🚀 Features
    • 📋 Prerequisites
    • 🚀 Getting Started
    • 💻 Usage
    • 🤖 Example MCP Server
    • 🤝 Contributing
    • 📄 License

    Table of Contents

    • 🎥 Demo
    • 🚀 Features
    • 📋 Prerequisites
    • 🚀 Getting Started
    • 💻 Usage
    • 🤖 Example MCP Server
    • 🤝 Contributing
    • 📄 License

    Documentation

    Browser-use MCP Client

    A modern React application that provides a user-friendly interface for interacting with Model Context Protocol (MCP) servers through Server-Sent Events (SSE).

    🎥 Demo

    https://github.com/user-attachments/assets/52ab11ad-741f-4506-99ad-9f1972a3aad1

    🚀 Features

    • Real-time Communication: Direct SSE connection to MCP servers
    • Interactive UI: Clean and responsive interface built with React and Tailwind CSS
    • Theme Support: Light and dark mode with system preference detection
    • Screenshot Preview: Live browser screenshots from MCP server responses
    • Message History: Persistent chat history with clear message threading
    • Request Management: Cancel in-progress requests and clear chat history
    • Connection Management: Easy server connection configuration

    📋 Prerequisites

    • Node.js (v18 or later)
    • pnpm (recommended package manager)
    • A running MCP server for connection
    • Python 3.8+ (for running the example server)

    -

    🚀 Getting Started

    1. Clone the Repository

    bash
    git clone 
       cd browser-use-mcp-client

    2. Install Dependencies

    bash
    pnpm install

    3. Start the Development Server

    bash
    pnpm dev

    4. Start the Proxy Server

    bash
    ./proxy/index.js

    The application will be available at http://localhost:5173

    💻 Usage

    🤖 Example MCP Server

    Here's an example of a Python-based MCP server that uses browser automation:

    python
    #!/usr/bin/env python3
    import asyncio
    from dotenv import load_dotenv
    from typing import Awaitable, Callable
    from mcp.server.fastmcp import FastMCP, Context
    from browser_use import Agent, Browser, BrowserConfig
    from langchain_google_genai import ChatGoogleGenerativeAI
    
    # Load environment variables from .env file
    load_dotenv()
    
    # Initialize FastMCP server
    mcp = FastMCP("browser-use")
    
    browser = Browser(
        config=BrowserConfig(
            chrome_instance_path="/Applications/Google Chrome.app/Contents/MacOS/Google Chrome --remote-debugging-port=9222",
            headless=True
        )
    )
    
    llm = ChatGoogleGenerativeAI(model="gemini-2.0-flash")
    agent = None
    
    @mcp.tool()
    async def perform_search(task: str, context: Context):
        """Perform the actual search in the background."""
        async def step_handler(state, *args):
            if len(args) != 2:
                return
            await context.session.send_log_message(
                level="info",
                data={"screenshot": state.screenshot, "result": args[0]}
            )
    
        asyncio.create_task(
            run_browser_agent(task=task, on_step=step_handler)
        )
        return "Processing Request"
    
    @mcp.tool()
    async def stop_search(*, context: Context):
        """Stop a running browser agent search by task ID."""
        if agent is not None:
            await agent.stop()
        return "Running Agent stopped"
    
    async def run_browser_agent(task: str, on_step: Callable[[], Awaitable[None]]):
        """Run the browser-use agent with the specified task."""
        global agent
        try:
            agent = Agent(
                task=task,
                browser=browser,
                llm=llm,
                register_new_step_callback=on_step,
                register_done_callback=on_step,
            )
    
            await agent.run()
        except asyncio.CancelledError:
            return "Task was cancelled"
    
        except Exception as e:
            return f"Error during execution: {str(e)}"
        finally:
            await browser.close()
    
    if __name__ == "__main__":
        mcp.run(transport="sse")

    🤝 Contributing

    1. Fork the repository

    2. Create a feature branch

    3. Commit your changes

    4. Push to the branch

    5. Open a Pull Request

    📄 License

    This project is licensed under the MIT License - see the LICENSE file for details.

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