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@enemyrr/mcp-server-pagespeed

@enemyrr/mcp-server-pagespeed

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created by
@enemyrr/mcp-server-pagespeedenemyrr18 days ago
@enemyrr/mcp-server-pagespeed
Information

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?

  1. Analyzing webpage performance for SEO optimization.
  2. Identifying loading issues to enhance user experience.
  3. Providing actionable insights for web developers to improve site speed.

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 install the server?

Clone the repository, run npm install, and build the project as per the setup instructions.

  • Can I contribute to the project?

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

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