PageSpeed MCP Server

Name: PageSpeed MCP Server
Author: MCP-Mirror

@MCP-Mirror

代码仓库

关于 PageSpeed MCP Server

Mirror of

#pagespeed #mcp-server #web-performance

基本信息

分类

其他

传输方式

stdio

发布者

MCP-Mirror

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "PhialsBasement_Pagespeed-MCP-Server": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli",
        "install",
        "mcp-pagespeed-server",
        "--client",
        "claude"
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is PageSpeed MCP Server?

A Model Context Protocol (MCP) server that extends AI assistant capabilities with PageSpeed Insights functionality. It bridges AI models and Google's PageSpeed Insights API for detailed performance analysis, Core Web Vitals, and comprehensive web audits.

How to use PageSpeed MCP Server?

Install via npm install pagespeed-mcp-server or using Smithery, then add the server to your AI assistant's configuration file (e.g., Claude). Invoke it by passing a URL and optional parameters like strategy (mobile/desktop) and categories to analyze.

Key features of PageSpeed MCP Server

Performance metrics: FCP, LCP, CLS, TTI, TBT
Best practices assessment (HTTPS, JS errors)
SEO analysis (meta tags, robots.txt, structured data)
Accessibility audits (ARIA, color contrast, headings)
Resource optimization suggestions (images, JS, CSS)
Customizable strategy and category selection

Use cases of PageSpeed MCP Server

Analyze website performance with Core Web Vitals
Assess SEO and accessibility compliance for web pages
Optimize resource loading and caching policies
Monitor best practices and browser console warnings
Evaluate mobile-friendliness and user experience

FAQ from PageSpeed MCP Server

How do I install PageSpeed MCP Server?

You can install it via npm (npm install pagespeed-mcp-server) or automatically through Smithery using npx -y @smithery/cli install mcp-pagespeed-server --client claude.

What are the runtime requirements?

A stable internet connection and access to Google's PageSpeed Insights API. Supported platforms include Windows (x64, x86), Linux (x64), and macOS (x64, arm64).

Can I customize the analysis parameters?

Yes. You can set the strategy (mobile/desktop), categories (performance, accessibility, best-practices, seo), locale, and performance thresholds per category.

What error handling does the server include?

It handles invalid URLs, network timeouts, API rate limiting, invalid parameters, and server-side errors with appropriate messages.

Does the server require an API key?

No explicit API key is mentioned in the README; it uses Google's PageSpeed Insights API which is publicly accessible with rate limits. Using an API key can increase those limits.