Pagespeed
CreatedMCP-Mirror
Analyze webpage performance using Google PageSpeed Insights through a Model Context Protocol (MCP) server.
About
This Model Context Protocol server leverages the Google PageSpeed Insights API to provide detailed webpage performance analysis for AI models. It offers real-time metrics, including overall performance scores, loading experience details like First Contentful Paint and First Input Delay, and prioritized improvement suggestions with impact assessments. Designed for easy integration with platforms like Cursor IDE, it provides a standardized interface for AI to understand and optimize webpage performance.
Key Features
- Real-time webpage performance analysis
- Detailed loading experience metrics
- Prioritized improvement suggestions
- Comprehensive error handling
- TypeScript support
- 0 GitHub stars
Use Cases
- Integration with development environments for real-time feedback
- Automated website optimization
- AI-driven performance monitoring