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MCP Server Pagespeed

by enemyrr
npmGitHub
JavaScript
MIT License
18
6
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@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
  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

Install Server
A
security – no known vulnerabilities
A
license - permissive license
A
quality - confirmed to work

How are these scores calculated?

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Tools

Enables AI models to analyze webpage performance using the Google PageSpeed Insights API, providing real-time performance scores and improvement suggestions.

  1. Installation & Setup for Cursor IDE
    1. Command-line Usage
      1. Available Tools
        1. analyze_pagespeed
      2. Features
        1. Error Handling
          1. Contributing
            1. License

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