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enemyrr_mcp-server-pagespeed
镜像://github.com/enemyrr/mcp-server-pagespeed
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@enemyrr/mcp-server-pagespeed
A Model Context Protocol server that provides Google PageSpeed Insights analysis. This server enables AI models to analyze webpage performance through a standardized interface.
Installation & Setup for Cursor IDE
- Clone and build the project:
git clone https://github.com/enemyrr/mcp-server-pagespeed.git
cd mcp-server-pagespeed
npm install
npm run build
- Add the server in Cursor IDE settings:
- Open Command Palette (Cmd/Ctrl + Shift + P)
- Search for "MCP: Add Server"
- Fill in the fields:
- Name:
pagespeed
- Type:
command
- Command:
node /absolute/path/to/mcp-server-pagespeed/build/index.js
- Name:
Note: Replace
/absolute/path/to/
with the actual path where you cloned and built the project.
Command-line Usage
Just run:
npx mcp-server-pagespeed
Available Tools
analyze_pagespeed
Analyze a webpage using Google PageSpeed Insights API.
use_mcp_tool({
server_name: "pagespeed",
tool_name: "analyze_pagespeed",
arguments: {
url: "https://example.com"
}
});
The tool returns:
- Overall performance score (0-100)
- Loading experience metrics
- First Contentful Paint
- First Input Delay
- Top 5 improvement suggestions with:
- Title
- Description
- Potential impact
- Current value
Features
- Real-time webpage performance analysis
- Detailed loading experience metrics
- Prioritized improvement suggestions
- Comprehensive error handling
- TypeScript support
Error Handling
The server provides detailed error messages for:
- Invalid URLs
- API request failures
- Connection issues
- Invalid tool calls
Contributing
Contributions are welcome! Please feel free to submit a Pull Request to https://github.com/enemyrr/mcp-server-pagespeed
License
MIT
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Reviews

user_BkupRLj7
As a dedicated user of MCP applications, I must say that the Model Context Protocol Servers in Quarkus/Java by MCP-Mirror have significantly enhanced my development workflow. The seamless integration with Quarkus and the comprehensive documentation available on their site make it incredibly user-friendly. I've found it highly efficient and reliable for server-side applications. Highly recommend it!