browser-automation

Browser Use▌

by kontext-dev

Async browser automation server using GPT-4o for remote web navigation, extraction, and tasks. Ideal for Selenium softwa

Provides an async browser automation server using OpenAI's GPT-4o model, enabling remote web navigation, content extraction, and task execution with configurable browser contexts.

github stars

★ 811

GitHub npm

No additional API costsUses existing MCP client LLMOne command setup with uvx

best for

/ AI assistants that need web browsing capabilities
/ Automating repetitive web tasks
/ Data extraction from websites
/ Testing web applications

capabilities

/ Control web browsers programmatically
/ Navigate websites and interact with page elements
/ Extract data from web pages
/ Automate form submissions and clicks
/ Take screenshots of web content

what it does

Connects MCP clients like Claude or Cursor to a web browser for automated browsing tasks. Uses your existing LLM configuration without requiring additional API keys.

about

Browser Use is a community-built MCP server published by kontext-dev that provides AI assistants with tools and capabilities via the Model Context Protocol. Async browser automation server using GPT-4o for remote web navigation, extraction, and tasks. Ideal for Selenium softwa It is categorized under browser automation.

how to install

You can install Browser Use in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

Browser Use is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

browser-use-mcp-server

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

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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

Client	Configuration 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:

Build a distributable wheel:

# From the project root directory
uv build

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

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

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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