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

``bash
npm install pagespeed-mcp-server
`

Configuration

Add the PageSpeed MCP to your AI assistant's(claude in this case) configuration file:

`json
{
"pagespeed": {
"command": "node",
"args": ["path/to/mcp-pagespeed-server/dist/index.js"]
}
}
`

Detailed Capabilities

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- 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)

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- HTTPS usage
- JavaScript error monitoring
- Browser console warnings
- Deprecated API usage
- Image aspect ratio analysis
- Link security checks

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- Meta description validation
- Robots.txt validation
- Structured data validation
- Crawlable links verification
- Meta tags assessment
- Mobile friendliness

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- ARIA attribute validation
- Color contrast checking
- Heading hierarchy analysis
- Alt text verification
- Focus management assessment
- Keyboard navigation testing

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- 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:

`javascript
{
"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

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You can customize the PageSpeed analysis by providing additional parameters:

`json
{
"strategy": "mobile", // or "desktop"
"category": ["performance", "accessibility", "best-practices", "seo"],
"locale": "en",
"threshold": {
"performance": 90,
"accessibility": 100,
"best-practices": 90,
"seo": 90
}
}
`

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The MCP server includes robust error handling for:
- Invalid URLs
- Network timeouts
- API rate limiting
- Invalid parameters
- Server-side errors

Requirements

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- Stable internet connection
- Access to Google's PageSpeed Insights API

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- Windows (x64, x86)
- Linux (x64)
- macOS (x64, arm64)

Integration Examples

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`javascript
const PageSpeedMCP = require('pagespeed-mcp-server');
const mcp = new PageSpeedMCP();

await mcp.analyze('https://example.com');
`

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`javascript
const results = await mcp.analyze('https://example.com', {
strategy: 'mobile',
categories: ['performance', 'accessibility'],
locale: 'en-US'
});
`

Troubleshooting

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1. Connection Timeouts
- Check internet connectivity

2. API Rate Limiting
- Use API key for higher limits

3. Memory Issues
- Adjust Node.js memory limits

Development

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`bash
git clone https://github.com/phialsbasement/mcp-pagespeed-server
cd mcp-pagespeed-server
npm install
npm run build
`

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`bash
npm run test
``

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1. Fork the repository
2. Create a feature branch
3. Commit your changes
4. Push to the branch
5. Create a Pull Request

Support

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- GitHub Issues: Report bugs and feature requests

License

MIT License - See LICENSE file for details