Playwright MCP Server
一个模型上下文协议服务器,使大型语言模型 (LLM) 能够与网页交互、截取屏幕截图、生成测试代码、抓取网页以及在真实的浏览器环境中执行 JavaScript。
Tools
playwright_custom_user_agent
Set a custom User Agent for the browser
playwright_get_visible_text
Get the visible text content of the current page
playwright_get_visible_html
Get the HTML content of the current page
playwright_go_back
Navigate back in browser history
playwright_go_forward
Navigate forward in browser history
start_codegen_session
Start a new code generation session to record Playwright actions
end_codegen_session
End a code generation session and generate the test file
get_codegen_session
Get information about a code generation session
clear_codegen_session
Clear a code generation session without generating a test
playwright_navigate
Navigate to a URL
playwright_screenshot
Take a screenshot of the current page or a specific element
playwright_click
Click an element on the page
playwright_iframe_click
Click an element in an iframe on the page
playwright_fill
fill out an input field
playwright_select
Select an element on the page with Select tag
playwright_hover
Hover an element on the page
playwright_evaluate
Execute JavaScript in the browser console
playwright_console_logs
Retrieve console logs from the browser with filtering options
playwright_close
Close the browser and release all resources
playwright_get
Perform an HTTP GET request
playwright_post
Perform an HTTP POST request
playwright_put
Perform an HTTP PUT request
playwright_patch
Perform an HTTP PATCH request
playwright_delete
Perform an HTTP DELETE request
playwright_expect_response
Ask Playwright to start waiting for a HTTP response. This tool initiates the wait operation but does not wait for its completion.
playwright_assert_response
Wait for and validate a previously initiated HTTP response wait operation.
playwright_drag
Drag an element to a target location
playwright_press_key
Press a keyboard key
playwright_save_as_pdf
Save the current page as a PDF file
README
Playwright MCP 服务器 🎭
一个模型上下文协议 (Model Context Protocol) 服务器,提供使用 Playwright 的浏览器自动化功能。此服务器使 LLM 能够与网页交互、截取屏幕截图、生成测试代码、抓取网页内容以及在真实的浏览器环境中执行 JavaScript。
<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>
截图

文档 | API 参考
安装
您可以使用 npm、mcp-get 或 Smithery 安装此包:
使用 npm:
npm install -g @executeautomation/playwright-mcp-server
使用 mcp-get:
npx @michaellatman/mcp-get@latest install @executeautomation/playwright-mcp-server
使用 Smithery
要通过 Smithery 自动为 Claude Desktop 安装 Playwright MCP:
npx -y @smithery/cli install @executeautomation/playwright-mcp-server --client claude
在 VS Code 中安装
使用以下按钮之一在 VS Code 中安装 Playwright MCP 服务器:
<!--
// 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)};
-->
或者,您可以使用 VS Code CLI 安装 Playwright MCP 服务器:
# For VS Code
code --add-mcp '{"name":"playwright","command":"npx","args":["@executeautomation/playwright-mcp-server"]}'
# For VS Code Insiders
code-insiders --add-mcp '{"name":"playwright","command":"npx","args":["@executeautomation/playwright-mcp-server"]}'
安装完成后,ExecuteAutomation Playwright MCP 服务器将可用于 VS Code 中的 GitHub Copilot 代理。
配置以使用 Playwright 服务器
以下是使用 Playwright 服务器的 Claude Desktop 配置:
{
"mcpServers": {
"playwright": {
"command": "npx",
"args": ["-y", "@executeautomation/playwright-mcp-server"]
}
}
}
测试
此项目使用 Jest 进行测试。测试位于 src/__tests__ 目录中。
运行测试
您可以使用以下命令之一运行测试:
# Run tests using the custom script (with coverage)
node run-tests.cjs
# Run tests using npm scripts
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)
测试覆盖率报告将在 coverage 目录中生成。
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