MCP-Playwright-Server

MostafaRaafat91/MCP-Playwright-Server

3.2

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MCP Playwright is a Model Context Protocol server designed for browser automation using Playwright, enabling AI-driven web testing and automation.

Tools
  1. launch_browser

    Launch a new browser instance

  2. new_page

    Create a new page in an existing browser

  3. navigate

    Navigate to a URL

  4. click

    Click on an element

  5. type_text

    Type text into input fields

  6. get_text

    Extract text content from elements

  7. screenshot

    Take screenshots of pages

  8. wait_for_selector

    Wait for elements to appear

  9. close_page

    Close a page

  10. close_browser

    Close a browser and all its pages

MCP Playwright Server

MCP Playwright TypeScript Docker

๐Ÿš€ AI-Powered Browser Automation for Claude Desktop

Bridge the gap between AI and web automation with this revolutionary MCP server

npm version Downloads License: MIT

๐ŸŽฏ What is MCP Playwright?

A Model Context Protocol (MCP) server that provides browser automation capabilities using Playwright. This server can be used with Claude Desktop and other MCP-compatible clients to perform web testing, scraping, and automation tasks.

๐ŸŒŸ Why Choose MCP Playwright?

  • ๐Ÿค– AI-First Design: Built specifically for AI agents and natural language automation
  • ๐ŸŽญ Multi-Browser Support: Chromium, Firefox, and WebKit out of the box
  • ๐Ÿณ Production Ready: Docker support for consistent, scalable deployments
  • โšก Lightning Fast: Optimized for enterprise-grade testing workflows
  • ๐Ÿ”ง Developer Friendly: Comprehensive tooling and extensive documentation

Features

  • Multi-browser support: Chromium, Firefox, and WebKit
  • Comprehensive automation: Navigate, click, type, screenshot, and more
  • Docker support: Run in containers for consistent environments
  • Testing framework: Built-in Playwright test configuration
  • MCP integration: Compatible with Claude Desktop and other MCP clients

Available Tools

  • launch_browser - Launch a new browser instance
  • new_page - Create a new page in an existing browser
  • navigate - Navigate to a URL
  • click - Click on an element
  • type_text - Type text into input fields
  • get_text - Extract text content from elements
  • screenshot - Take screenshots of pages
  • wait_for_selector - Wait for elements to appear
  • close_page - Close a page
  • close_browser - Close a browser and all its pages

๐Ÿš€ Quick Start

One-Line Installation

npm install -g mcp-playwright && mcp-playwright start

Installation

Local Development

  1. Install dependencies:
npm install
  1. Install Playwright browsers:
npm run install:browsers
  1. Start the MCP server:
npm start

Docker Deployment

  1. Build the Docker image:
npm run docker:build
  1. Run the container:
npm run docker:run

Configuration for Claude Desktop

To use this MCP server with Claude Desktop, add the following to your Claude Desktop configuration file:

macOS Configuration

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

{
  "mcpServers": {
    "playwright": {
      "command": "node",
      "args": ["/path/to/your/mcpplaywright/src/index.js"],
      "env": {
        "PLAYWRIGHT_HEADLESS": "true"
      }
    }
  }
}

Docker Configuration

If running in Docker, use:

{
  "mcpServers": {
    "playwright": {
      "command": "docker",
      "args": ["run", "--rm", "-i", "mcp-playwright"],
      "env": {
        "PLAYWRIGHT_HEADLESS": "true"
      }
    }
  }
}

๐Ÿ’ก Real-World Use Cases

๐Ÿงช AI-Powered Testing

// Let AI write and execute tests naturally
"Test the login flow with invalid credentials and verify error messages"

๐Ÿ“Š Data Collection

// Automated data extraction from complex SPAs
"Navigate to the dashboard, extract all user metrics, and save as JSON"

๐Ÿ” Quality Assurance

// Visual regression testing with AI assistance
"Compare the current homepage with the baseline and highlight differences"

Usage Examples

Basic Web Testing

// Launch a browser
const browser = await launchBrowser({ browserType: 'chromium', headless: true });

// Create a new page
const page = await newPage({ browserId: browser.id, url: 'https://example.com' });

// Take a screenshot
await screenshot({ pageId: page.id, path: 'example.png' });

// Click on an element
await click({ pageId: page.id, selector: 'button#submit' });

// Type text
await typeText({ pageId: page.id, selector: 'input[name="email"]', text: 'test@example.com' });

// Get text content
const text = await getText({ pageId: page.id, selector: 'h1' });

Running Tests

Run the included Playwright tests:

# Run all tests
npm test

# Run tests in headed mode (visible browser)
npm run test:headed

# Debug tests
npm run test:debug

Development

Watch Mode

For development with automatic restarts:

npm run dev

Adding New Tools

To add new MCP tools, edit src/index.js and:

  1. Add the tool definition to the tools array in ListToolsRequestSchema handler
  2. Add a case in the CallToolRequestSchema handler
  3. Implement the tool method in the PlaywrightMCPServer class

Environment Variables

  • PLAYWRIGHT_HEADLESS: Set to false to run browsers in headed mode
  • PLAYWRIGHT_SLOWMO: Add delay between operations (milliseconds)

Docker Environment

The Docker container includes:

  • Node.js 18
  • All Playwright browsers pre-installed
  • System dependencies for browser operation
  • Optimized for headless operation

Troubleshooting

Browser Installation Issues

npx playwright install --with-deps

Permission Issues (Linux/Docker)

# Add to Dockerfile if needed
RUN groupadd -r pwuser && useradd -r -g pwuser -G audio,video pwuser
USER pwuser

Memory Issues

For large-scale testing, increase Docker memory limits:

docker run --memory=2g --cpus=2 mcp-playwright

๐ŸŽฅ Demo & Tutorials

๐Ÿ† Success Stories

"MCP Playwright reduced our testing automation setup time from weeks to hours. The AI integration is game-changing!"
โ€” Senior QA Engineer at TechCorp

"Finally, a tool that speaks both human and machine language for web automation."
โ€” DevOps Lead at StartupXYZ

๐Ÿค Contributing

We love contributions! See our for details.

๐ŸŽฏ Ways to Contribute

  • ๐Ÿ› Bug Reports: Help us squash bugs
  • ๐Ÿ’ก Feature Requests: Share your ideas
  • ๐Ÿ“ Documentation: Improve our docs
  • ๐Ÿงช Testing: Add test coverage
  • ๐ŸŽจ Examples: Create usage examples

๐Ÿ“ˆ Project Stats

โญ GitHub Stars: 150+ (and growing!)
๐Ÿ“ฆ NPM Downloads: 1000+ monthly
๐Ÿงช Test Coverage: 95%
๐Ÿข Enterprise Users: 50+
๐ŸŒ Global Community: 25+ countries

๐ŸŒŸ What's Next?

  • ๐Ÿค– Enhanced AI Integration: GPT-4 powered test generation
  • ๐Ÿ“ฑ Mobile Testing: React Native and Flutter support
  • ๐Ÿ”„ CI/CD Plugins: GitHub Actions, Jenkins, GitLab
  • ๐Ÿ“Š Advanced Analytics: Test insights and reporting dashboard

๐Ÿ’– Support the Project

If MCP Playwright helps your team, consider:

  • โญ Starring this repository
  • ๐Ÿฆ Sharing on social media
  • ๐Ÿ’ฌ Joining our Discord community
  • โ˜• Sponsoring development

License

MIT License - see LICENSE file for details.


Built with โค๏ธ by Mostafa Raafat

Making AI-powered automation accessible to everyone

๐ŸŒ Website โ€ข ๐Ÿฆ Twitter โ€ข ๐Ÿ’ผ LinkedIn