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Playwright-Lighthouse MCP Server

by kbyk004-diy
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MIT License
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Playwright-Lighthouse MCP 服务器

使用 Playwright 和 Lighthouse 分析网站性能的 MCP 服务器。通过模型上下文协议 (MCP)，LLM 可以执行网站性能分析。

特征

  • 使用 Lighthouse 进行性能分析

  • 屏幕截图

设置

先决条件

  • Node.js 18 或更高版本

  • npm

安装

# Clone the repository git clone https://github.com/kbyk004/playwright-lighthouse-mcp.git cd playwright-lighthouse-mcp # Install dependencies npm install npx playwright install # Build npm run build

用法

调试 MCP 服务器

npm run inspector

与 MCP 客户端集成

此服务器旨在与支持模型上下文协议 (MCP) 的客户端配合使用。例如，它可以与 Claude for Desktop 集成。

Claude 桌面版配置示例

将以下内容添加到 Claude for Desktop 配置文件（ ~/Library/Application Support/Claude/claude_desktop_config.json ）：

{ "mcpServers": { "playwright-lighthouse": { "command": "node", "args": [ "/path-to/playwright-lighthouse-mcp/build/index.js" ] } } }

可用工具

1. 运行灯塔

对当前打开的页面运行 Lighthouse 性能分析。

参数：

  • url ：要分析的网站的 URL

  • categories ：要分析的类别数组（默认值：[“performance”]）

    • 可用类别：“性能”、“可访问性”、“最佳实践”、“SEO”、“PWA”

  • maxItems ：每个类别显示的最大改进项目数（默认值：3，最大值：5）

2. 截屏

截取当前打开的页面的屏幕截图。

参数：

  • url ：要捕获的网站的 URL

  • fullPage ：如果为 true，则捕获整个页面的屏幕截图（默认值：false）

输出格式

分析结果包括：

  • 每个选定类别的总体得分，带有颜色指示器

  • 按类别分组的关键改进领域

  • 保存的报告文件的路径

执照

MIT 许可证 - 详情请参阅许可证

Deploy Server
A
security – no known vulnerabilities
-
license - not tested
A
quality - confirmed to work

How are these scores calculated?

local-only server

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

Tools

使用 Playwright 和 Lighthouse 分析网站性能的服务器，允许 LLM 通过模型上下文协议执行网络性能分析。

  1. 特征
    1. 设置
      1. 先决条件
      2. 安装
    2. 用法
      1. 调试 MCP 服务器
      2. 与 MCP 客户端集成
    3. 可用工具
      1. 1. 运行灯塔
      2. 2. 截屏
    4. 输出格式
      1. 执照

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