PageSpeed Insights
Integrates with Google PageSpeed Insights to analyze webpage performance and provide optimization recommendations for improved loa
This MCP server, developed by enemyrr, provides integration with Google PageSpeed Insights for web performance analysis. Built with TypeScript and leveraging the Model Context Protocol SDK, it offers a tool for analyzing webpage performance, including loading experience metrics and improvement suggestions. The implementation focuses on delivering concise, actionable insights about web page speed and user experience. By connecting AI models with Google's performance analysis tools, this server enables scenarios such as automated performance auditing, optimization recommendations, and comparative analysis across multiple web pages. It's particularly useful for developers, SEO specialists, and AI assistants focused on web performance optimization.
Source
Repository: https://github.com/enemyrr/mcp-server-pagespeed
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