Overview
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?
- Analyzing webpage performance for SEO optimization.
- Providing developers with insights on loading times and user experience.
- Generating improvement suggestions for better webpage performance.
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 handle errors?
The server provides detailed error messages for invalid URLs, API request failures, and connection issues.
- Can I contribute to the project?
Yes! Contributions are welcome, and you can submit a Pull Request on GitHub.