@enemyrr/MCP Server Pagespeed

@MCP-Mirror

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その他

トランスポート

stdio

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MCP-Mirror

@enemyrr/MCP Server Pagespeed について

Mirror of

#mcp-server #pagespeed#performance-analysis

@enemyrr/MCP Server Pagespeed 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": {
    "enemyrr_mcp-server-pagespeed": {
      "command": "npx",
      "args": [
        "mcp-server-pagespeed"
      ]
    }
  }
}

@enemyrr/MCP Server Pagespeed 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 @enemyrr/mcp-server-pagespeed?

An MCP server that integrates Google PageSpeed Insights to let AI models analyze webpage performance and receive optimization suggestions through a standardized interface.

How to use @enemyrr/mcp-server-pagespeed?

Install by cloning the repository, running npm install and npm run build, then configure in Cursor IDE with the command node /absolute/path/to/build/index.js. Alternatively, run npx mcp-server-pagespeed directly from the command line. Use the analyze_pagespeed tool with a URL argument to obtain performance data.

Key features of @enemyrr/mcp-server-pagespeed

Real-time webpage performance analysis
Detailed loading experience metrics (FCP, FID)
Top 5 prioritized improvement suggestions
Comprehensive error handling for malformed URLs and API failures
Written in TypeScript with full type support

Use cases of @enemyrr/mcp-server-pagespeed

Automatically audit web page performance during development workflows
Generate actionable optimization recommendations from AI assistants
Integrate performance scoring into CI/CD or content review pipelines
Provide users with instant page speed insights via chat interfaces

よくある質問

How do I install and configure @enemyrr/mcp-server-pagespeed?

Clone the repository, run `npm install` and `npm run build`, then add it as an MCP server in Cursor IDE using the command `node /absolute/path/to/build/index.js`, or run `npx mcp-server-pagespeed` directly.

What tools does the server provide?

It provides one tool: `analyze_pagespeed`. It accepts a `url` argument and returns performance scores, loading metrics, and improvement suggestions.

What data does the analysis return?

The analysis returns an overall performance score (0–100), First Contentful Paint, First Input Delay, and the top five improvement suggestions, each with a title, description, potential impact, and current value.

What error handling is available?

The server handles invalid URLs, API request failures, connection issues, and invalid tool calls, returning detailed error messages for each case.

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