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@enemyrr/MCP Server Pagespeed

@MCP-Mirror

Repository

Basic information

Category

Other

Transports

stdio

Author

MCP-Mirror

About @enemyrr/MCP Server Pagespeed

Mirror of

#mcp-server#pagespeed#performance-analysis

@enemyrr/MCP Server Pagespeed config

Add this server to your MCP-compatible client using the configuration below.

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

@enemyrr/MCP Server Pagespeed tools

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Overview

What is @enemyrr/mcp-server-pagespeed?

An MCP server that integrates Google PageSpeed Insights to let AI models analyze webpage performance and receive optimization suggestions through a standardized interface.

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

Install by cloning the repository, running npm install and npm run build, then configure in Cursor IDE with the command node /absolute/path/to/build/index.js. Alternatively, run npx mcp-server-pagespeed directly from the command line. Use the analyze_pagespeed tool with a URL argument to obtain performance data.

Key features of @enemyrr/mcp-server-pagespeed

  • Real-time webpage performance analysis
  • Detailed loading experience metrics (FCP, FID)
  • Top 5 prioritized improvement suggestions
  • Comprehensive error handling for malformed URLs and API failures
  • Written in TypeScript with full type support

Use cases of @enemyrr/mcp-server-pagespeed

  • Automatically audit web page performance during development workflows
  • Generate actionable optimization recommendations from AI assistants
  • Integrate performance scoring into CI/CD or content review pipelines
  • Provide users with instant page speed insights via chat interfaces

Frequently asked questions

1

How do I install and configure @enemyrr/mcp-server-pagespeed?

Clone the repository, run `npm install` and `npm run build`, then add it as an MCP server in Cursor IDE using the command `node /absolute/path/to/build/index.js`, or run `npx mcp-server-pagespeed` directly.

2

What tools does the server provide?

It provides one tool: `analyze_pagespeed`. It accepts a `url` argument and returns performance scores, loading metrics, and improvement suggestions.

3

What data does the analysis return?

The analysis returns an overall performance score (0–100), First Contentful Paint, First Input Delay, and the top five improvement suggestions, each with a title, description, potential impact, and current value.

4

What error handling is available?

The server handles invalid URLs, API request failures, connection issues, and invalid tool calls, returning detailed error messages for each case.

Comments

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