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securityA
license-
qualityA MCP server that provides browser automation tools, allowing users to navigate websites, take screenshots, click elements, fill forms, and execute JavaScript through Playwright.
Last updated -
Python
Apache 2.0
如何使用 playwright-mcp？
介绍
playwright-mcp（模型上下文协议）是一款强大的工具，它弥合了 AI 助手和浏览器自动化之间的差距。它使 AI 模型能够与 Web 浏览器交互、检查 DOM 元素、记录用户交互，并生成更高精度的 Playwright 测试脚本。本指南将指导您如何有效地设置和使用 playwright-mcp。
工具
浏览器界面中可用的工具：
浏览器工具箱
- 选择 DOM (🎯)：点击即可从页面中选择并捕获 HTML 元素。使用它来记录测试用例的选择器。
- 选择图像 (📸)：截取特定元素的屏幕截图。适用于视觉测试或文档撰写。
- 记录交互 (📋)：记录浏览器交互，例如点击、输入和导航。这些交互会自动生成选择器，并可以作为上下文传递给 Claude 或 Cursor 等 MCP 客户端，以帮助编写测试用例。
MCP 命令
init-browser：初始化剧作家浏览器。get-context：获取网站上下文，用于编写测试用例execute-code：针对当前页面执行自定义 Playwright JS 代码get-screenshot：获取当前页面的屏幕截图get-full-dom：获取当前页面的完整 DOM。（建议使用get-context代替）
了解更多
想深入了解？查看完整文档：
This server cannot be installed
local-only server
The server can only run on the client's local machine because it depends on local resources.
Playwright MCP 服务器支持与网页交互和元素检查，从而实现 AI 驱动的 Playwright 测试生成。它与 Cursor 等 IDE 集成，提供实时上下文信息，从而提高测试准确性和效率。
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