Turn Your LLM Into a Browser Automation Expert

Stop copying and pasting browser automation commands into your AI assistant. MCP-Playwright bridges the gap between your LLM and real browser control, letting Claude, Cursor, or Cline directly drive Chromium, Firefox, and WebKit through structured commands.

The Problem with Current AI-Assisted Browser Testing

You know the drill: you're building browser automation, hit a complex interaction, and your AI assistant gives you generic Playwright code that doesn't account for your specific DOM structure, timing issues, or authentication flow. You end up in a loop of "try this selector," screenshot, paste error, repeat.

MCP-Playwright flips this dynamic. Instead of describing what you want, your LLM can see, click, type, and debug in real-time.

Direct Browser Control from Your AI Workflow

This isn't just another Playwright wrapper. Your AI assistant gets native browser capabilities:

• Live Screenshots: Your LLM sees exactly what you see, debugging layout issues and element visibility in real-time
• Smart Element Detection: Click by text content, not just selectors—your AI can interact with "Submit" buttons without hunting for CSS paths
• JavaScript Execution: Run custom scripts and immediately see results, perfect for debugging complex SPAs
• Multi-Browser Testing: Switch between Chromium, Firefox, and WebKit without changing your conversation flow
• Session Isolation: Each conversation gets its own browser context—login states and cookies stay separate

Real Workflow Improvements

Test Generation That Actually Works Instead of generating boilerplate test code, your AI can interact with your actual application, see the results, and write tests based on what it observes. No more tests that pass locally but fail in CI because of timing assumptions.

Intelligent Web Scraping Your LLM can navigate authentication flows, handle dynamic content loading, and adapt to layout changes on the fly. It sees when elements aren't loading and can wait or retry intelligently.

Visual Debugging Stuck on a flaky test? Your AI can take screenshots at each step, compare visual states, and identify exactly where the interaction breaks down—without you explaining the expected vs actual behavior.

Cross-Browser Compatibility Checking Run the same automation flow across different browsers and get detailed reports on behavioral differences, all within your existing AI chat interface.

Integration That Just Works

Add one configuration block to Claude Desktop, Cursor, or any MCP-compatible tool:

{
  "mcpServers": {
    "playwright": {
      "command": "npx",
      "args": ["-y", "@executeautomation/playwright-mcp-server"]
    }
  }
}

No complex API keys, webhook configurations, or authentication flows. Your AI assistant immediately gains browser superpowers.

When This Changes Everything

This MCP server shines when you need AI assistance with:

• Debugging flaky E2E tests where timing and element states matter more than code structure
• Building automation for sites you don't control where selectors change frequently
• Generating test scenarios based on actual user flows rather than specifications
• Cross-browser compatibility testing where behavioral differences need expert analysis
• API testing with browser context where authentication cookies and session state matter

The 4K+ GitHub stars and active development community suggest this isn't experimental tooling—it's becoming essential infrastructure for AI-assisted browser automation.

Your next browser automation challenge doesn't need to be a back-and-forth debugging session. Give your AI the tools to see, interact, and solve problems directly in the browser environment where they actually occur.