@enemyrr/mcp-server-pagespeed
What is @enemyrr/mcp-server-pagespeed?
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. Identifying loading issues to enhance user experience. Providing actionable insights for web developers to improve site speed. 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 install the server? Clone the repository, run npm install, and build the project as per the setup instructions. Can I contribute to the project? Yes! Contributions are welcome, and you can submit a Pull Request on GitHub.
As an MCP (Model Context Protocol) server, @enemyrr/mcp-server-pagespeed enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.
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. Identifying loading issues to enhance user experience. Providing actionable insights for web developers to improve site speed. 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 install the server? Clone the repository, run npm install, and build the project as per the setup instructions. Can I contribute to the project? Yes! Contributions are welcome, and you can submit a Pull Request on GitHub.
Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.
Use Cases for this MCP Server
- No use cases specified.
MCP servers like @enemyrr/mcp-server-pagespeed can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.
About Model Context Protocol (MCP)
The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like @enemyrr/mcp-server-pagespeed provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.
Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.