@enemyrr/mcp-server-pagespeed

Name: @enemyrr/mcp-server-pagespeed
Author: enemyrr

@enemyrr

代码仓库

关于 @enemyrr/mcp-server-pagespeed

暂无概览

#mcp-server #pagespeed #performance-analysis

基本信息

分类

其他

许可证

MIT

运行时

node

传输方式

stdio

发布者

enemyrr

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-server-pagespeed": {
      "command": "npx",
      "args": [
        "mcp-server-pagespeed"
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is @enemyrr/mcp-server-pagespeed?

@enemyrr/mcp-server-pagespeed is a Model Context Protocol server that provides Google PageSpeed Insights analysis, enabling AI models to analyze webpage performance through a standardized interface.

How to use @enemyrr/mcp-server-pagespeed?

Clone the repository, run npm install and npm run build, then add the server in Cursor IDE with the command node /absolute/path/to/mcp-server-pagespeed/build/index.js. Alternatively, run npx mcp-server-pagespeed from the command line. Use the analyze_pagespeed tool with a URL argument to get performance scores, loading metrics, and improvement suggestions.

Key features of @enemyrr/mcp-server-pagespeed

Real-time webpage performance analysis
Detailed loading experience metrics (FCP, FID)
Prioritized improvement suggestions with impact
Comprehensive error handling for invalid URLs and API failures
TypeScript support

Use cases of @enemyrr/mcp-server-pagespeed

Analyze webpage performance via AI models
Retrieve loading experience metrics and improvement suggestions
Integrate performance analysis into AI-driven workflows

FAQ from @enemyrr/mcp-server-pagespeed

What does @enemyrr/mcp-server-pagespeed do?

It provides Google PageSpeed Insights analysis, returning a performance score (0–100), loading metrics (First Contentful Paint, First Input Delay), and the top 5 improvement suggestions with title, description, potential impact, and current value.