PageSpeed Insights

Integrates with Google PageSpeed Insights to analyze webpage performance and provide optimization recommendations for improved loading speed and user experience

Installation Instructions

README: https://github.com/enemyrr/mcp-server-pagespeed

@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.

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

2. 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