Playwright Universal MCP
by xkiranj
A universal Playwright MCP server for browser automation in containerized environments
What is Playwright Universal MCP
Playwright Universal MCP
A universal Model Context Protocol (MCP) server for browser automation that works reliably in containerized environments with limited privileges. It provides browser control capabilities to AI assistants like Claude, GPT-4, etc.
Features
- ๐ Multi-browser support: Choose between Chromium, Chrome, Microsoft Edge, Firefox, or WebKit
- ๐ณ Container-friendly: Works in environments with limited privileges (like Docker containers)
- ๐๏ธ Headless/Headful modes: Run in headless mode for server environments or headful mode for debugging
- ๐ ๏ธ Extensive browser control: Navigate, click, type, take screenshots, and more
- ๐ Multiple page support: Create and manage multiple browser pages/tabs
Installation
Option 1: Install with pipx (recommended)
# Install the MCP Python SDK
pip install git+https://github.com/microsoft/mcp-python-sdk.git
# Install the MCP server globally
pipx install playwright-universal-mcp
# Install the required browsers
playwright install chromium
# Optional: install other browsers
playwright install firefox webkit msedge chrome
Option 2: Install in a Python virtual environment
# Create and activate a virtual environment
python -m venv playwright-mcp-venv
source playwright-mcp-venv/bin/activate
# Install the MCP Python SDK
pip install git+https://github.com/microsoft/mcp-python-sdk.git
# Install the package
pip install playwright-universal-mcp
# Install browsers
playwright install chromium
Option 3: Install from source
# Clone the repository
git clone https://github.com/xkiranj/playwright-universal-mcp.git
cd playwright-universal-mcp
# Install the MCP Python SDK
pip install git+https://github.com/microsoft/mcp-python-sdk.git
# Install the package
pip install -e .
# Install browsers
playwright install chromium
Usage
Command Line Options
playwright-universal-mcp --help
usage: playwright-universal-mcp [-h] [--browser {chromium,firefox,webkit,msedge,chrome}] [--headless] [--headful] [--debug] [--browser-arg BROWSER_ARG]
Universal Playwright MCP server with multi-browser support
options:
-h, --help show this help message and exit
--browser {chromium,firefox,webkit,msedge,chrome}, -b {chromium,firefox,webkit,msedge,chrome}
Browser to use (default: chromium)
--headless Run browser in headless mode (default: true)
--headful Run browser in headful mode (with GUI)
--debug Enable debug logging
--browser-arg BROWSER_ARG
Additional browser arguments (can be specified multiple times)
Basic Examples
# Start with default options (Chromium in headless mode)
playwright-universal-mcp
# Use Microsoft Edge
playwright-universal-mcp --browser msedge
# Use Firefox in headful mode (visible browser window)
playwright-universal-mcp --browser firefox --headful
# Enable debug logging
playwright-universal-mcp --debug
# Pass additional arguments to the browser
playwright-universal-mcp --browser-arg="--disable-gpu" --browser-arg="--window-size=1920,1080"
MCP Configuration
To use this MCP server with Claude Desktop or other MCP-enabled applications, add the following configuration:
Claude Desktop Configuration
Add the following to your ~/.config/Claude/claude_desktop_config.json
file:
{
"mcpServers": {
"browser": {
"command": "playwright-universal-mcp",
"args": ["--browser", "msedge", "--headless"]
}
}
}
Running as a PM2 Service
To run the MCP server as a persistent service with PM2:
- Create a PM2 configuration file:
cat > ~/playwright-universal-mcp.config.js << 'EOF'
module.exports = {
apps: [{
name: "playwright-universal-mcp",
script: "playwright-universal-mcp",
args: "--browser msedge --headless",
watch: false,
autorestart: true,
restart_delay: 3000
}]
}
EOF
- Start the service:
pm2 start ~/playwright-universal-mcp.config.js
- Save the PM2 process list:
pm2 save
Containerized Usage
This MCP server works well in containerized environments. Here's a simple Dockerfile example:
FROM python:3.10-slim
# Install dependencies
RUN apt-get update && apt-get install -y \
wget \
gnupg \
&& rm -rf /var/lib/apt/lists/*
# Install the package
RUN pip install playwright-universal-mcp
# Install browsers (install the ones you need)
RUN playwright install chromium
# Run the MCP server
ENTRYPOINT ["playwright-universal-mcp", "--headless"]
Available Browser Tools
The MCP server provides the following tools:
navigate
: Navigate to a URLclick
: Click on an element by selector or texttype
: Type text into an input elementget_text
: Get text content from an elementget_page_content
: Get the current page HTML contenttake_screenshot
: Take a screenshot of the current pagenew_page
: Create a new browser pageswitch_page
: Switch to a different browser pageget_pages
: List all available browser pageswait_for_selector
: Wait for an element to be visible on the pageget_browser_info
: Get information about the current browser session
License
MIT License
Acknowledgments
This project builds upon:
- Playwright for browser automation
- Model Context Protocol (MCP) for the connection standard
- MCP Python SDK for the MCP implementation
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Frequently Asked Questions
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
What are MCP Servers?
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
How do MCP Servers work?
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Are MCP Servers secure?
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
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