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Analyze webpage performance using Google PageSpeed Insights through a Model Context Protocol (MCP) server.
概要
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.
主な機能
- Real-time webpage performance analysis
- Detailed loading experience metrics
- Prioritized improvement suggestions
- Comprehensive error handling
- TypeScript support
- 0 GitHub stars
ユースケース
- Integration with development environments for real-time feedback
- Automated website optimization
- AI-driven performance monitoring
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