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PageSpeed MCP Server

@PhialsBasement

リポジトリ

基本情報

カテゴリ

その他

ライセンス

MIT

トランスポート

stdio

作者

PhialsBasement

PageSpeed MCP Server について

Pull pagespeed data using this MCP server.

PageSpeed MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

PageSpeed MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

What is PageSpeed MCP Server?

A Model Context Protocol (MCP) server that extends AI assistant capabilities with PageSpeed Insights functionality, acting as a bridge between AI models and Google's PageSpeed Insights API for detailed website performance analysis.

How to use PageSpeed MCP Server?

Install via npm (npm install pagespeed-mcp-server) or Smithery, then configure in your AI assistant's configuration file with a GOOGLE_API_KEY and the path to the server binary. The server can be invoked with a URL and optional parameters such as strategy (mobile/desktop) and categories.

Key features of PageSpeed MCP Server

  • Analyzes Core Web Vitals: FCP, LCP, TTI, TBT, CLS, Speed Index, TTFB
  • Assesses best practices: HTTPS, JavaScript errors, deprecated APIs
  • Performs SEO audits: meta descriptions, robots.txt, structured data
  • Runs accessibility checks: ARIA validation, color contrast, heading hierarchy
  • Provides resource optimization suggestions: image optimization, caching, minification

Use cases of PageSpeed MCP Server

  • Integrate real-time PageSpeed audits into AI-powered developer assistants
  • Automate performance regression checks in CI/CD pipelines
  • Enable AI chatbots to answer website speed and SEO questions
  • Quickly audit accessibility and best practices for multiple URLs

よくある質問

1

What PageSpeed metrics does the server analyze?

It provides First Contentful Paint (FCP), Largest Contentful Paint (LCP), Time to Interactive (TTI), Total Blocking Time (TBT), Cumulative Layout Shift (CLS), Speed Index, and Time to First Byte (TTFB).

2

How do I set up the server with Claude?

Add a JSON entry to Claude's configuration with `"command": "node"`, `"args": ["path/to/mcp-pagespeed-server/dist/index.js"]`, and an `env` field containing your `GOOGLE_API_KEY`.

3

What strategies are supported for analysis?

You can specify `"strategy": "mobile"` or `"strategy": "desktop"` in the request.

4

How does the server handle API rate limiting?

The README recommends using an API key to obtain higher rate limits; common troubleshooting includes checking internet connectivity and adjusting Node.js memory limits.

5

Which platforms is the server compatible with?

Windows (x64, x86), Linux (x64), and macOS (x64, arm64).

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