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MCP服务器PageSpeed优化器

启用AI模型使用Google PageSpeed Insights API分析网页性能,提供实时性能分数和改进建议。

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README

@enemyrr/mcp-server-pagespeed

A Model Context Protocol server that provides Google PageSpeed Insights analysis. This server enables AI models to analyze webpage performance through a standardized interface.

Server Pagespeed MCP server

Installation & Setup for Cursor IDE

  1. Clone and build the project:
git clone https://github.com/enemyrr/mcp-server-pagespeed.git
cd mcp-server-pagespeed
npm install
npm run build
  1. Add the server in Cursor IDE settings:
    • Open Command Palette (Cmd/Ctrl + Shift + P)
    • Search for "MCP: Add Server"
    • Fill in the fields:
      • Name: pagespeed
      • Type: command
      • Command: node /absolute/path/to/mcp-server-pagespeed/build/index.js

Note: Replace /absolute/path/to/ with the actual path where you cloned and built the project.

Command-line Usage

Just run:

npx mcp-server-pagespeed

Available Tools

analyze_pagespeed

Analyze a webpage using Google PageSpeed Insights API.

use_mcp_tool({
  server_name: "pagespeed",
  tool_name: "analyze_pagespeed",
  arguments: {
    url: "https://example.com"
  }
});

The tool returns:

  • Overall performance score (0-100)
  • Loading experience metrics
    • First Contentful Paint
    • First Input Delay
  • Top 5 improvement suggestions with:
    • Title
    • Description
    • Potential impact
    • Current value

Features

  • Real-time webpage performance analysis
  • Detailed loading experience metrics
  • Prioritized improvement suggestions
  • Comprehensive error handling
  • TypeScript support

Error Handling

The server provides detailed error messages for:

  • Invalid URLs
  • API request failures
  • Connection issues
  • Invalid tool calls

Contributing

Contributions are welcome! Please feel free to submit a Pull Request to https://github.com/enemyrr/mcp-server-pagespeed

License

MIT

help

运行方式说明

cloud

托管运行

托管运行通常表示这个 MCP Server 由服务方环境承载,用户一般按页面提供的连接方式或授权流程接入,不需要在本地长期启动一个 MCP 进程

  1. 打开服务方连接页
  2. 完成授权或复制端点
  3. 在 MCP 客户端中连接
terminal

本地运行 / 其它方式

本地运行通常需要用户在自己的电脑或服务器上安装依赖,把 server_config 复制到 MCP 客户端,并按 env_schema 补齐环境变量、密钥或其它配置

  1. 复制 server_config
  2. 安装所需依赖
  3. 补齐环境变量后重启客户端