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About mcp-playwright

Playwright Model Context Protocol Server - Tool to automate Browsers and APIs in Claude Desktop, Cline, Cursor IDE and More 🔌

README

<div align="center" markdown="1"> <table> <tr> <td align="center" valign="middle"> <a href="https://mseep.ai/app/executeautomation-mcp-playwright"> <img src="https://mseep.net/pr/executeautomation-mcp-playwright-badge.png" alt="MseeP.ai Security Assessment Badge" height="80"/> </a> </td> <td align="center" valign="middle"> <a href="https://www.warp.dev/?utm_source=github&utm_medium=referral&utm_campaign=mcp-playwright"> <img alt="Warp sponsorship" width="200" src="https://github.com/user-attachments/assets/ab8dd143-b0fd-4904-bdc5-dd7ecac94eae"/> </a> </td> </tr> <tr> <td align="center"><sub>MseeP.ai Security Assessment</sub></td> <td align="center"><sub>Special thanks to <a href="https://www.warp.dev/?utm_source=github&utm_medium=referral&utm_campaign=mcp-playwright">Warp, the AI terminal for developers</a></sub></td> </tr> </table> </div> <hr>

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A Model Context Protocol server that provides browser automation capabilities using Playwright. This server enables LLMs to interact with web pages, take screenshots, generate test code, web scraps the page and execute JavaScript in a real browser environment.

<a href="https://glama.ai/mcp/servers/yh4lgtwgbe"><img width="380" height="200" src="https://glama.ai/mcp/servers/yh4lgtwgbe/badge" alt="mcp-playwright MCP server" /></a>

Screenshot

Documentation | API reference

Installation

You can install the package using either npm, mcp-get, or Smithery:

Using npm:

npm install -g @executeautomation/playwright-mcp-server

Using mcp-get:

npx @michaellatman/mcp-get@latest install @executeautomation/playwright-mcp-server

Using Smithery

To install Playwright MCP for Claude Desktop automatically via Smithery:

npx @smithery/cli install @executeautomation/playwright-mcp-server --client claude

Installation in VS Code

Install the Playwright MCP server in VS Code using one of these buttons:

<!-- // Generate using?: const config = JSON.stringify({ name: 'playwright', command: 'npx', args: ["-y", "@executeautomation/playwright-mcp-server"] }); const urlForWebsites = `vscode:mcp/install?${encodeURIComponent(config)}`; // Github markdown does not allow linking to `vscode:` directly, so you can use our redirect: const urlForGithub = `https://insiders.vscode.dev/redirect?url=${encodeURIComponent(urlForWebsites)}`; -->

<img src="https://img.shields.io/badge/VS_Code-VS_Code?style=flat-square&label=Install%20Server&color=0098FF" alt="Install in VS Code"> <img alt="Install in VS Code Insiders" src="https://img.shields.io/badge/VS_Code_Insiders-VS_Code_Insiders?style=flat-square&label=Install%20Server&color=24bfa5">

Alternatively, you can install the Playwright MCP server using the VS Code CLI:

code --add-mcp '{"name":"playwright","command":"npx","args":["@executeautomation/playwright-mcp-server"]}'
code-insiders --add-mcp '{"name":"playwright","command":"npx","args":["@executeautomation/playwright-mcp-server"]}'

After installation, the ExecuteAutomation Playwright MCP server will be available for use with your GitHub Copilot agent in VS Code.

Configuration to use Playwright Server

Here's the Claude Desktop configuration to use the Playwright server:

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

Testing

This project uses Jest for testing. The tests are located in the src/__tests__ directory.

Running Tests

You can run the tests using one of the following commands:

node run-tests.cjs

npm test           # Run tests without coverage
npm run test:coverage  # Run tests with coverage
npm run test:custom    # Run tests with custom script (same as node run-tests.cjs)

The test coverage report will be generated in the coverage directory.

Running evals

The evals package loads an mcp client that then runs the index.ts file, so there is no need to rebuild between tests. You can load environment variables by prefixing the npx command. Full documentation can be found here.

OPENAI_API_KEY=your-key  npx mcp-eval src/evals/evals.ts src/tools/codegen/index.ts

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