PageSpeed MCP Server
A Model Context Protocol (MCP) server that extends AI assistant capabilities with PageSpeed Insights functionality. This server acts as a bridge between AI models and Google's PageSpeed Insights API, enabling detailed performance analysis of websites.
Overview
The PageSpeed MCP server is designed to enhance AI assistants' capabilities by allowing them to perform comprehensive web performance analysis. When integrated, AI models can request and interpret detailed performance metrics, Core Web Vitals, and other critical web performance data for any given URL.
Installation
Installing via Smithery
To install PageSpeed Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install mcp-pagespeed-server --client claude
Manual Installation
npm install pagespeed-mcp-server
Configuration
Add the PageSpeed MCP to your AI assistant's(claude in this case) configuration file:
{
"pagespeed": {
"command": "node",
"args": ["path/to/mcp-pagespeed-server/dist/index.js"]
}
}
Detailed Capabilities
- First Contentful Paint (FCP)
- Largest Contentful Paint (LCP)
- Time to Interactive (TTI)
- Total Blocking Time (TBT)
- Cumulative Layout Shift (CLS)
- Speed Index
- Time to First Byte (TTFB)
Best Practices Assessment
- HTTPS usage
- JavaScript error monitoring
- Browser console warnings
- Deprecated API usage
- Image aspect ratio analysis
- Link security checks
SEO Analysis
- Meta description validation
- Robots.txt validation
- Structured data validation
- Crawlable links verification
- Meta tags assessment
- Mobile friendliness
Accessibility Audits
- ARIA attribute validation
- Color contrast checking
- Heading hierarchy analysis
- Alt text verification
- Focus management assessment
- Keyboard navigation testing
Resource Optimization
- Image optimization suggestions
- JavaScript bundling analysis
- CSS optimization recommendations
- Cache policy validation
- Resource minification checks
- Render-blocking resource identification
API Response Structure
The MCP server provides detailed JSON responses including:
{
"lighthouseResult": {
"categories": {
"performance": { /* Performance metrics */ },
"accessibility": { /* Accessibility results */ },
"best-practices": { /* Best practices audit */ },
"seo": { /* SEO findings */ }
},
"audits": {
// Detailed audit results for each category
},
"timing": {
// Performance timing data
},
"stackPacks": {
// Technology-specific advice
}
}
}
Advanced Usage
Custom Configuration
You can customize the PageSpeed analysis by providing additional parameters:
{
"strategy": "mobile", // or "desktop"
"category": ["performance", "accessibility", "best-practices", "seo"],
"locale": "en",
"threshold": {
"performance": 90,
"accessibility": 100,
"best-practices": 90,
"seo": 90
}
}
Error Handling
The MCP server includes robust error handling for:
- Invalid URLs
- Network timeouts
- API rate limiting
- Invalid parameters
- Server-side errors
Requirements
Network Requirements
- Stable internet connection
- Access to Google's PageSpeed Insights API
- Windows (x64, x86)
- Linux (x64)
- macOS (x64, arm64)
Integration Examples
Basic Integration
const PageSpeedMCP = require('pagespeed-mcp-server');
const mcp = new PageSpeedMCP();
await mcp.analyze('https://example.com');
With Custom Options
const results = await mcp.analyze('https://example.com', {
strategy: 'mobile',
categories: ['performance', 'accessibility'],
locale: 'en-US'
});
Troubleshooting
Common Issues
- Connection Timeouts
- Check internet connectivity
- API Rate Limiting
- Use API key for higher limits
- Memory Issues
- Adjust Node.js memory limits
Development
Building from Source
git clone https://github.com/phialsbasement/mcp-pagespeed-server
cd mcp-pagespeed-server
npm install
npm run build
Running Tests
Contributing
- Fork the repository
- Create a feature branch
- Commit your changes
- Push to the branch
- Create a Pull Request
Support
Getting Help
- GitHub Issues: Report bugs and feature requests
License
MIT License - See LICENSE file for details