Playwright MCP Server

Playwright MCP Server

A production-ready browser automation server that enables AI assistants to interact with web pages using tools for navigation, element interaction, and data extraction. It features a built-in Inspector UI and robust crash recovery for reliable automated testing and information retrieval.

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README

Playwright MCP Server

A production-ready Model Context Protocol (MCP) server that provides browser automation capabilities using Playwright. Built with the mcp-use framework for enhanced developer experience with built-in Inspector UI and comprehensive error handling.

Overview

This MCP server exposes 6 powerful browser automation tools that allow AI assistants like Claude to interact with web pages, extract information, and perform automated testing. All operations are performed in a managed Chromium browser instance with robust error handling and timeout management.

Key Features:

  • 🎭 Playwright Integration - Full async Playwright API support
  • 🔍 Built-in Inspector UI - Test tools interactively at http://localhost:8000/inspector
  • 📡 Auto-discovery - OpenMCP metadata endpoint at /openmcp.json
  • 🛡️ Robust Error Handling - Clear, actionable error messages with suggestions
  • 🔄 Crash Recovery - Automatic browser restart on failures
  • ⚙️ Highly Configurable - All timeouts and settings via environment variables
  • 🐛 Debug Mode - Enhanced logging and /docs endpoint

Features

6 Browser Automation Tools

  1. navigate - Navigate to URLs with configurable wait conditions
  2. click_element - Click elements by CSS selector
  3. fill_input - Fill form inputs with text
  4. extract_text - Extract text content from elements
  5. screenshot - Take viewport or full-page screenshots
  6. get_page_info - Get current page URL, title, and viewport size

All tools return standardized responses with either success data or detailed error information.

Installation

Prerequisites

  • Python 3.13 or higher
  • pip (Python package manager)

Setup

  1. Clone or download this repository
cd "C:\Users\David Jr\playwright-mcp-server"
  1. Create a virtual environment
python -m venv venv
  1. Activate the virtual environment

Windows:

venv\Scripts\activate

macOS/Linux:

source venv/bin/activate
  1. Install dependencies
pip install -r requirements.txt
  1. Install Playwright browsers
playwright install chromium
  1. Configure environment variables
# Windows
copy .env.example .env

# macOS/Linux
cp .env.example .env

Edit .env to customize settings (optional - defaults work out of the box).

Quick Start

Running the Server

python src/server.py

You should see output like:

============================================================
🚀 Playwright Automation Server v1.0.0
============================================================

📊 Inspector UI:    http://localhost:8000/inspector
📄 API Docs:        http://localhost:8000/docs
📋 OpenMCP:         http://localhost:8000/openmcp.json
🔌 MCP Endpoint:    http://localhost:8000/mcp

💡 Open http://localhost:8000/inspector in your browser
   to test all 6 browser automation tools interactively
   Press CTRL+C to stop the server

============================================================

Accessing the Inspector UI

What to do:

  1. Copy the Inspector URL: http://localhost:8000/inspector
  2. Paste it into your web browser (Chrome, Firefox, Edge, Safari, etc.)
  3. The Inspector UI will open where you can test all tools

Note: If you see 0.0.0.0 in any URL, replace it with localhost in your browser.

The Inspector UI allows you to:

  • See all available tools and their parameters
  • Test tools interactively with a web form
  • View real-time responses and errors
  • Explore the OpenMCP metadata

How to use the Inspector:

  1. You'll see a list of 6 tools (navigate, click_element, fill_input, etc.)
  2. Click on a tool to see its description and parameters
  3. Fill in the parameters (example: url = "https://example.com")
  4. Click "Execute" to run the tool
  5. View the results in the response panel

Testing with the Manual Test Script

python tests/manual_test.py

This runs a complete integration test suite covering all tools.

Usage Examples

Tool 1: Navigate

Navigate to a URL and wait for page load:

await navigate("https://example.com")
# Returns:
# {
#   "success": True,
#   "url": "https://example.com/",
#   "title": "Example Domain"
# }

Navigate with custom wait condition:

await navigate("https://example.com", wait_until="networkidle")

Wait conditions:

  • "load" - Wait for the load event (default)
  • "domcontentloaded" - Wait for DOMContentLoaded event
  • "networkidle" - Wait until network is idle (no requests for 500ms)

Tool 2: Click Element

Click an element by CSS selector:

await click_element("button.submit")
# Returns:
# {
#   "success": True,
#   "selector": "button.submit",
#   "element_text": "Submit Form"
# }

Tool 3: Fill Input

Fill a form input with text:

await fill_input("input[name='email']", "user@example.com")
# Returns:
# {
#   "success": True,
#   "selector": "input[name='email']",
#   "text_length": 16
# }

Tool 4: Extract Text

Extract text content from an element:

await extract_text("h1")
# Returns:
# {
#   "success": True,
#   "selector": "h1",
#   "text": "Example Domain",
#   "text_length": 14
# }

Tool 5: Screenshot

Take a viewport screenshot:

await screenshot("./screenshots/homepage.png")
# Returns:
# {
#   "success": True,
#   "path": "C:\\Users\\David Jr\\playwright-mcp-server\\screenshots\\homepage.png",
#   "file_size": 52341,
#   "full_page": False,
#   "viewport": {"width": 1920, "height": 1080}
# }

Take a full-page screenshot:

await screenshot("./screenshots/full.png", full_page=True)

Supported formats: .png, .jpg, .jpeg

Tool 6: Get Page Info

Get current page information:

await get_page_info()
# Returns:
# {
#   "success": True,
#   "url": "https://example.com/",
#   "title": "Example Domain",
#   "viewport": {"width": 1920, "height": 1080}
# }

Configuration Reference

All configuration is done via environment variables in the .env file:

Server Configuration

Variable Description Default
DEBUG Enable debug mode with enhanced logging true
HOST Server host address 0.0.0.0
PORT Server port 8000

Browser Configuration

Variable Description Default
HEADLESS Run browser in headless mode true
BROWSER_TIMEOUT Browser launch timeout (ms) 30000
VIEWPORT_WIDTH Browser viewport width 1920
VIEWPORT_HEIGHT Browser viewport height 1080

Operation Timeouts

Variable Description Default
NAVIGATION_TIMEOUT Page navigation timeout (ms) 30000
ELEMENT_TIMEOUT Element interaction timeout (ms) 10000
SCREENSHOT_TIMEOUT Screenshot capture timeout (ms) 5000

Screenshot Configuration

Variable Description Default
SCREENSHOT_DIR Directory for screenshots ./screenshots

Error Handling

All tools return standardized error responses with actionable suggestions:

{
  "success": False,
  "error": "Element 'button.submit' not found or not clickable within 10000ms",
  "error_type": "ElementNotFound",
  "suggestion": "Check if selector is correct and element is visible",
  "selector": "button.submit"
}

Error Types

  • ValidationError - Invalid inputs (bad URL, empty parameters, wrong types)
  • ElementNotFound - Selector not found or element not visible/clickable
  • TimeoutError - Operation exceeded timeout
  • NetworkError - DNS failures, connection refused, SSL errors
  • FileSystemError - File write permission errors
  • InvalidElementState - Element is disabled or read-only
  • UnknownError - Unexpected errors with details

Common Issues and Solutions

Browser fails to launch

Error: Failed to launch browser

Solution:

  1. Ensure Playwright browsers are installed: playwright install chromium
  2. Check that you have sufficient permissions
  3. Try running with HEADLESS=false in .env to see browser window

Element not found

Error: Element not found with given selector

Solution:

  1. Verify the CSS selector is correct
  2. Check if element is inside an iframe (not currently supported)
  3. Increase ELEMENT_TIMEOUT if page loads slowly
  4. Use browser dev tools to test your selector

Navigation timeout

Error: Navigation timed out after 30000ms

Solution:

  1. Increase NAVIGATION_TIMEOUT in .env
  2. Check your internet connection
  3. Verify the URL is accessible
  4. Try using wait_until="domcontentloaded" instead of "load"

Screenshot permission denied

Error: Permission denied

Solution:

  1. Check write permissions for the target directory
  2. Ensure parent directories exist (created automatically by the tool)
  3. Verify you have disk space available

Development

Project Structure

playwright-mcp-server/
├── src/
│   ├── __init__.py
│   ├── server.py          # Main MCP server with 6 tools
│   └── browser_manager.py # Singleton browser lifecycle management
├── tests/
│   ├── __init__.py
│   ├── test_server.py     # Unit tests
│   └── manual_test.py     # Integration test script
├── .env.example           # Environment template
├── .gitignore             # Git ignore rules
├── requirements.txt       # Python dependencies
├── README.md              # This file
└── pyproject.toml         # Project metadata

Running Tests

Unit tests (requires pytest):

pytest tests/test_server.py -v

Integration tests:

python tests/manual_test.py

Code Quality

This project follows best practices:

  • ✅ Type hints on all functions
  • ✅ Comprehensive docstrings
  • ✅ Async/await throughout
  • ✅ Singleton pattern for browser management
  • ✅ Standardized error responses
  • ✅ Configuration via environment variables
  • ✅ Graceful shutdown handling

Architecture

BrowserManager (Singleton):

  • Manages browser lifecycle
  • Lazy initialization (browser starts on first use)
  • Async lock prevents race conditions
  • Automatic crash recovery
  • Graceful cleanup on shutdown

MCP Server:

  • Built with mcp-use framework
  • 6 tools decorated with @server.tool()
  • Streamable HTTP transport for Inspector UI
  • Signal handlers for graceful shutdown
  • Comprehensive error parsing

Integration with Claude Desktop

To use this server with Claude Desktop, add to your Claude config:

Windows: %APPDATA%\Claude\claude_desktop_config.json

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "playwright": {
      "command": "python",
      "args": [
        "C:\\Users\\David Jr\\playwright-mcp-server\\src\\server.py"
      ],
      "env": {
        "PYTHONPATH": "C:\\Users\\David Jr\\playwright-mcp-server\\src"
      }
    }
  }
}

Note: For production use with Claude Desktop, modify server.py to use transport="stdio" instead of transport="streamable-http".

Contributing

Contributions are welcome! Please:

  1. Fork the repository
  2. Create a feature branch
  3. Add tests for new functionality
  4. Ensure all tests pass
  5. Submit a pull request

License

MIT License - feel free to use this in your own projects.

Support

For issues and questions:

  • Check the Troubleshooting section above
  • Review the test files for usage examples
  • Open an issue on GitHub

Acknowledgments

Built with:

📚 Citation

@software{mcp_use2025, author = {Zullo, Pietro and Contributors}, title = {MCP-Use: Complete MCP Ecosystem for Python and TypeScript}, year = {2025}, publisher = {GitHub}, url = {https://github.com/mcp-use/mcp-use}

}


Version: 1.0.0 Author: Built with Claude Code Last Updated: 2026-01-30

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