Navigate to a specified URL in the browser
Click on an element identified by a selector
Fill a form field with text
Take a screenshot of the current page
Get the HTML content of the current page
Execute JavaScript code in the browser context
Generate test automation code for the current page
Extract structured data from the current web page
Playwright MCP Server provides powerful browser automation capabilities using the Playwright framework. It enables AI assistants to interact with web pages, take screenshots, generate test code, scrape web content, and execute JavaScript in a real browser environment. This tool bridges the gap between AI language models and web browsing, allowing for dynamic web interactions and data extraction.
Playwright MCP Server enables AI assistants to control web browsers, allowing them to navigate websites, interact with elements, capture screenshots, and extract data. This powerful tool leverages Microsoft's Playwright framework to provide cross-browser automation capabilities.
You can install Playwright MCP Server using one of the following methods:
npm install -g @executeautomation/playwright-mcp-server
npx @michaellatman/mcp-get@latest install @executeautomation/playwright-mcp-server
For automatic installation with Claude Desktop:
npx @smithery/cli install @executeautomation/playwright-mcp-server --client claude
For VS Code users, you can install the Playwright MCP Server through the Cursor extension or directly via npm.
After installation, you'll need to configure your AI client to use the Playwright MCP Server. Add the following configuration to your client's settings:
"mcpServers": {
"playwright-server": {
"command": "playwright-mcp-server",
"args": []
}
}
Once installed and configured, your AI assistant can use Playwright to:
Here are some example commands you can use:
If you encounter issues: