PageSpeed

Bridges AI assistants with PageSpeed Insights to analyze performance, accessibility, SEO, and more.

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GitHub Stars

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Language

6 months ago

First Indexed

2 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

{
  "mcpServers": {
    "mcp-mirror-phialsbasement_pagespeed-mcp-server": {
      "command": "node",
      "args": [
        "path/to/mcp-pagespeed-server/dist/index.js"
      ]
    }
  }
}

The PageSpeed MCP Server lets your AI assistant analyze web performance by querying PageSpeed Insights and returning structured performance, best-practices, SEO, accessibility, and resource optimization data for a given URL. This bridge helps you quickly assess how a page performs and where to optimize.

How to use

You use the PageSpeed MCP Server by integrating it with your MCP client and calling its analyze capability on a target URL. You can request a full PageSpeed analysis or tailor the request to include only the metrics and categories you care about, such as performance, accessibility, best-practices, and SEO. The server returns detailed results that you can surface in your AI workflow to drive improvements and answer performance questions.

How to install

Prerequisites you need before installing: Node.js (and npm) installed on your machine.

Option 1: Install PageSpeed MCP Server via Smithery for a Claude client integration.

npx -y @smithery/cli install mcp-pagespeed-server --client claude

Option 2: Install manually as a local Node package.

npm install pagespeed-mcp-server

Configuration

Configure your MCP client to run the PageSpeed MCP Server by adding a runtime entry that starts the server process. The following example shows how to invoke the server via a Node script path.

{
  "pagespeed": {
    "command": "node",
    "args": ["path/to/mcp-pagespeed-server/dist/index.js"]
  }
}

Available tools

analyze

Runs a PageSpeed Insights analysis on a URL and returns performance metrics, audits, and timing data, including Core Web Vitals, accessibility checks, SEO findings, and best-practices results.