browser-use-mcp-server

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

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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

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)

Example

Try asking your AI:

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

Support

For issues or inquiries: cobrowser.xyz

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