What is Phialsbasement Pagespeed Mcp Server

PhialsBasement_Pagespeed-MCP-Server is a Model Context Protocol (MCP) server that enhances AI assistant capabilities by integrating with Google’s PageSpeed Insights API. It enables detailed performance analysis of websites, providing insights into various performance metrics and web vitals.

Use cases

Use cases for PhialsBasement_Pagespeed-MCP-Server include analyzing website performance for optimization, ensuring compliance with SEO best practices, conducting accessibility audits for improved user experience, and monitoring web application performance over time.

How to use

To use PhialsBasement_Pagespeed-MCP-Server, you can install it via Smithery using the command npx -y @smithery/cli install mcp-pagespeed-server --client claude, or manually by running npm install pagespeed-mcp-server. After installation, configure it in your AI assistant’s settings by adding the appropriate command and arguments to the configuration file.

Key features

Key features of PhialsBasement_Pagespeed-MCP-Server include performance metrics analysis (e.g., FCP, LCP, TTI), best practices assessment (e.g., HTTPS usage, JavaScript error monitoring), SEO analysis (e.g., meta description validation, structured data validation), and accessibility audits (e.g., ARIA attribute validation, color contrast checking).

Where to use

PhialsBasement_Pagespeed-MCP-Server can be used in web development, digital marketing, SEO optimization, and accessibility testing, making it suitable for developers, marketers, and website auditors.

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

Performance Metrics Analysis

• 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:

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

Platform Support

• 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

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

Building from Source

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

Running Tests

npm run test

Contributing

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

Support

Getting Help

• GitHub Issues: Report bugs and feature requests

License

MIT License - See LICENSE file for details