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Playwright MCP

剧作家-mcp

Playwright 的 MCP(模型上下文协议)包装器。该服务器使 LLM 驱动的客户端能够控制浏览器执行自动化任务。

成分

资源

服务器公开访问浏览器截图的资源:

  • 截图资源URI: screenshot://{page_id}
  • 所有打开的页面都会自动提供屏幕截图资源

提示

服务器提供提示来帮助客户端解释网页:

  • interpret-page :分析当前网页内容和结构
    • 可选的page_id参数用于选择要解释的页面
    • 可选focus参数,用于关注特定方面(完整、表格、导航、文本)
    • 返回文本分析和页面截图

工具

该服务器实现了一套全面的浏览器自动化工具:

  • 浏览器导航
    • navigate :转到特定的 URL
    • new_page :创建一个具有特定 ID 的新浏览器页面
    • switch_page :切换到不同的浏览器页面
    • get_pages :列出所有可用的浏览器页面
  • 页面交互
    • click :使用 CSS 选择器单击元素
    • type :在输入元素中输入文本
    • wait_for_selector :等待元素出现在页面上
  • 内容提取
    • get_text :从元素获取文本内容
    • get_page_content :获取整个页面 HTML
    • take_screenshot :捕获页面或元素的视觉状态

配置

安装依赖项

uv add playwright playwright install chromium

快速入门

安装

克劳德桌面

在 MacOS 上: ~/Library/Application\ Support/Claude/claude_desktop_config.json
在 Windows 上: %APPDATA%/Claude/claude_desktop_config.json

"mcpServers": { "playwright-mcp": { "command": "uv", "args": [ "--directory", "/Users/shannon/Workspace/artivus/playwright-mcp", "run", "playwright-mcp" ] } }
"mcpServers": { "playwright-mcp": { "command": "uvx", "args": [ "playwright-mcp" ] } }

发展

构建和发布

准备分发包:

  1. 同步依赖项并更新锁文件:
uv sync
  1. 构建软件包分发版:
uv build

这将在dist/目录中创建源和轮子分布。

  1. 发布到 PyPI:
uv publish

注意:您需要通过环境变量或命令标志设置 PyPI 凭据:

  • 令牌: --tokenUV_PUBLISH_TOKEN
  • 或用户名/密码: --username / UV_PUBLISH_USERNAME--password / UV_PUBLISH_PASSWORD

调试

由于 MCP 服务器通过 stdio 运行,调试起来可能比较困难。为了获得最佳调试体验,我们强烈建议使用MCP Inspector

您可以使用以下命令通过npm启动 MCP Inspector:

npx @modelcontextprotocol/inspector uv --directory /Users/shannon/Workspace/artivus/playwright-mcp run playwright-mcp

启动后,检查器将显示一个 URL,您可以在浏览器中访问该 URL 以开始调试。

-
security - not tested
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license - not tested
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quality - not tested

local-only server

The server can only run on the client's local machine because it depends on local resources.

MCP 的 Playwright 包装器使 LLM 驱动的客户端能够控制浏览器以执行自动化任务。

  1. 成分
    1. 资源
    2. 提示
    3. 工具
  2. 配置
    1. 安装依赖项
  3. 快速入门
    1. 安装
  4. 发展
    1. 构建和发布
    2. 调试

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