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Browser Use

kontext-dev/browser-use-mcp-server
822
Summary

The Browser Use MCP Server enables AI agents to control and automate web browsers through the Model Context Protocol, leveraging the browser-use library and Playwright for browser automation. It provides tools for agents to perform web interactions such as navigation, form filling, clicking, and data extraction by exposing browser control capabilities as MCP tools. This server solves the problem of integrating autonomous web browsing capabilities into AI agent systems, allowing them to complete tasks that require direct interaction with web applications.

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Integrate web data into your AI product. One API to scrape website & brand data.
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browser-use-mcp-server

Twitter URL Discord PyPI version

An MCP server that enables AI agents to control web browsers using browser-use.

🌐 Want to Vibe Browse the Web? Open-source AI-powered web browser - Vibe Browser.

🔗 Managing multiple MCP servers? Simplify your development workflow with agent-browser

Prerequisites

  • uv - Fast Python package manager
  • Playwright - Browser automation
  • mcp-proxy - Required for stdio mode
# Install prerequisites
curl -LsSf https://astral.sh/uv/install.sh | sh
uv tool install mcp-proxy
uv tool update-shell

Environment

Create a .env file:

OPENAI_API_KEY=your-api-key
CHROME_PATH=optional/path/to/chrome
PATIENT=false  # Set to true if API calls should wait for task completion

Installation

# Install dependencies
uv sync
uv pip install playwright
uv run playwright install --with-deps --no-shell chromium

Usage

SSE Mode

# Run directly from source
uv run server --port 8000

stdio Mode

# 1. Build and install globally
uv build
uv tool uninstall browser-use-mcp-server 2>/dev/null || true
uv tool install dist/browser_use_mcp_server-*.whl

# 2. Run with stdio transport
browser-use-mcp-server run server --port 8000 --stdio --proxy-port 9000

Client Configuration

SSE Mode Client Configuration

{
  "mcpServers": {
    "browser-use-mcp-server": {
      "url": "http://localhost:8000/sse"
    }
  }
}

stdio Mode Client Configuration

{
  "mcpServers": {
    "browser-server": {
      "command": "browser-use-mcp-server",
      "args": [
        "run",
        "server",
        "--port",
        "8000",
        "--stdio",
        "--proxy-port",
        "9000"
      ],
      "env": {
        "OPENAI_API_KEY": "your-api-key"
      }
    }
  }
}

Config Locations

ClientConfiguration Path
Cursor./.cursor/mcp.json
Windsurf~/.codeium/windsurf/mcp_config.json
Claude (Mac)~/Library/Application Support/Claude/claude_desktop_config.json
Claude (Windows)%APPDATA%\Claude\claude_desktop_config.json

Features

  • Browser Automation: Control browsers through AI agents
  • Dual Transport: Support for both SSE and stdio protocols
  • VNC Streaming: Watch browser automation in real-time
  • Async Tasks: Execute browser operations asynchronously

Local Development

To develop and test the package locally:

  1. Build a distributable wheel:

    # From the project root directory
    uv build
    
  2. Install it as a global tool:

    uv tool uninstall browser-use-mcp-server 2>/dev/null || true
    uv tool install dist/browser_use_mcp_server-*.whl
    
  3. Run from any directory:

    # Set your OpenAI API key for the current session
    export OPENAI_API_KEY=your-api-key-here
    
    # Or provide it inline for a one-time run
    OPENAI_API_KEY=your-api-key-here browser-use-mcp-server run server --port 8000 --stdio --proxy-port 9000
    
  4. After making changes, rebuild and reinstall:

    uv build
    uv tool uninstall browser-use-mcp-server
    uv tool install dist/browser_use_mcp_server-*.whl
    

Docker

Using Docker provides a consistent and isolated environment for running the server.

# Build the Docker image
docker build -t browser-use-mcp-server .

# Run the container with the default VNC password ("browser-use")
# --rm ensures the container is automatically removed when it stops
# -p 8000:8000 maps the server port
# -p 5900:5900 maps the VNC port
docker run --rm -p8000:8000 -p5900:5900 browser-use-mcp-server

# Run with a custom VNC password read from a file
# Create a file (e.g., vnc_password.txt) containing only your desired password
echo "your-secure-password" > vnc_password.txt
# Mount the password file as a secret inside the container
docker run --rm -p8000:8000 -p5900:5900 \
  -v $(pwd)/vnc_password.txt:/run/secrets/vnc_password:ro \
  browser-use-mcp-server

Note: The :ro flag in the volume mount (-v) makes the password file read-only inside the container for added security.

VNC Viewer

# Browser-based viewer
git clone https://github.com/novnc/noVNC
cd noVNC
./utils/novnc_proxy --vnc localhost:5900

Default password: browser-use (unless overridden using the custom password method)

VNC Screenshot

VNC Screenshot

Example

Try asking your AI:

open https://news.ycombinator.com and return the top ranked article

Support

For issues or inquiries: cobrowser.xyz

Star History

Star History Chart
Featured
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AI writes the code. CodeRabbit catches the slop.
Try For Free →
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Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
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Make money from your Skills
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
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Categories
Web & Browser Automation
UpdatedMar 7, 2026
View on GitHub

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