@enemyrr/mcp-server-pagespeed: Boosts Speed, Crushes Bounce Rates

@enemyrr/mcp-server-pagespeed: Your site’s new speed demon! ⚡ Slays slow loads, boosts joy, and keeps bounce rates gasping for air. No capes—just pure velocity. 🚀💨

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Ranked in the top 4% of all AI tools in its category

About @enemyrr/mcp-server-pagespeed

What is @enemyrr/mcp-server-pagespeed: Boosts Speed, Crushes Bounce Rates?

This Model Context Protocol (MCP) server leverages Google PageSpeed Insights to analyze webpage performance. It acts as a bridge between AI models and real-world performance data, providing a standardized interface to evaluate loading speeds, identify optimization opportunities, and reduce bounce rates. Think of it as your technical performance auditor for the web.

How to use @enemyrr/mcp-server-pagespeed: Boosts Speed, Crushes Bounce Rates?

Here’s how you can get started:

Clone and prepare the repository:

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

Configure in Cursor IDE:
- Open Command Palette (Cmd/Ctrl + Shift + P)
- Select "MCP: Add Server"
- Set Name: pagespeed, Type: command, Command: node /absolute/path/to/build/index.js
Run directly via CLI:
```
npx mcp-server-pagespeed
```

Analyze pages using:

use_mcp_tool({
  server_name: "pagespeed",
  tool_name: "analyze_pagespeed",
  arguments: {url: "https://example.com"}
});

@enemyrr/mcp-server-pagespeed Features

Key Features of @enemyrr/mcp-server-pagespeed: Boosts Speed, Crushes Bounce Rates?

Powerhouse capabilities include:

Instant diagnostics: Get PageSpeed scores and loading metrics (First Contentful Paint, First Input Delay)
Actionable insights: Top 5 optimization suggestions with impact ratings and current performance values
Robust reliability: Detailed error handling for API failures, invalid URLs, and network issues
Dev-friendly: TypeScript support and clean error messaging for smooth integration

Use cases of @enemyrr/mcp-server-pagespeed: Boosts Speed, Crushes Bounce Rates?

Perfect for scenarios like:

Optimizing e-commerce sites to reduce cart abandonment
Testing landing pages for better conversion rates
Automating performance audits during CI/CD pipelines
Comparing performance across different device types

@enemyrr/mcp-server-pagespeed FAQ

FAQ: Tackling Common Questions

Q: Does it require Google API keys?
A: Uses public PageSpeed API endpoints, no credentials needed
Q: How often can I run analyses?
A: Rate limited by Google's API terms (2,000 requests/month)
Q: Can I customize the analysis parameters?
A: Supports device and throttling presets through API parameters

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