@enemyrr/mcp-server-pagespeed

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mcp-server pagespeed

Overview

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?

To use the server, clone the repository, build the project, and add it to Cursor IDE settings. You can also run it directly from the command line using npx mcp-server-pagespeed.

key features of @enemyrr/mcp-server-pagespeed?

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

use cases of @enemyrr/mcp-server-pagespeed?

Analyzing webpage performance for SEO optimization.
Providing developers with insights on loading times and user experience.
Generating improvement suggestions for better webpage performance.

FAQ from @enemyrr/mcp-server-pagespeed?

What does the analyze_pagespeed tool do?

It analyzes a webpage using the Google PageSpeed Insights API and returns performance scores and improvement suggestions.

How do I handle errors?

The server provides detailed error messages for invalid URLs, API request failures, and connection issues.

Can I contribute to the project?

Yes! Contributions are welcome, and you can submit a Pull Request on GitHub.

Content

@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

Clone and build the project:

git clone https://github.com/enemyrr/mcp-server-pagespeed.git
cd mcp-server-pagespeed
npm install
npm run build

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