@enemyrr/mcp-server-pagespeed is a Model Context Protocol (MCP) server. It connects AI models to Google PageSpeed Insights, allowing them to analyze website performance through a standard interface.
To get started, clone the repository, build the project, and add it to your Cursor IDE settings. Alternatively, you can run it directly from your terminal using npx mcp-server-pagespeed.
Its key features include real-time performance analysis, detailed metrics on the loading experience, and prioritized suggestions for improvements. It also offers comprehensive error handling and is built with TypeScript.
Common use cases are analyzing webpage performance for SEO, providing developers with insights on loading times and user experience, and generating actionable recommendations for performance enhancements.
The main tool, analyze_pagespeed, uses the Google PageSpeed Insights API to return performance scores and suggestions. For errors, the server provides detailed messages for issues like invalid URLs or API failures. Contributions to the project are welcome via Pull Requests on GitHub.