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lighthouse-mcp

Allows AI assistants such as Amp/Cline/Cursor/Claude Code/Codex/GitHub Copilot to use Google's lighthouse tool to measure perf metrics for your webpage. You can then run an agentic loop and get the assistants to optimize those metrics!

Links

README

From the repo.

Lighthouse MCP Server

An MCP server that wraps around Google's Lighthouse tool to help measure various performance metrics for web pages.

Features

  • Run comprehensive Lighthouse audits on any URL
  • Get performance scores and metrics
  • Configure device emulation (mobile/desktop)
  • Control network throttling
  • Select specific audit categories

Installation

Option 1: From MCP Registry (Recommended)

This server is available in the Model Context Protocol Registry. Install it using your MCP client or Claude Desktop.

Option 2: Using npx

You can run the tool directly using npx without installation:

npx lighthouse-mcp

Option 3: Global Installation

Install the package globally from npm:

npm install -g lighthouse-mcp

Then run it:

lighthouse-mcp

Option 4: Local Development

  1. Clone this repository
  2. Install dependencies:
    npm install
    
  3. Build the project:
    npm run build
    
  4. Run the server:
    npm start
    

MCP Configuration

When installed via npm (global or npx)

Add the following to your MCP settings configuration file:

{
  "mcpServers": {
    "lighthouse": {
      "command": "npx",
      "args": ["lighthouse-mcp"],
      "disabled": false,
      "autoApprove": []
    }
  }
}

When using local development version

Add the following to your MCP settings configuration file:

{
  "mcpServers": {
    "lighthouse": {
      "command": "node",
      "args": ["/absolute/path/to/lighthouse-mcp/build/index.js"],
      "disabled": false,
      "autoApprove": []
    }
  }
}

Replace /absolute/path/to/lighthouse-mcp with the actual path to this project.

Available Tools

run_audit

Run a comprehensive Lighthouse audit on a URL.

Parameters:

  • url (required): The URL to audit
  • categories (optional): Array of categories to audit (defaults to all)
    • Options: "performance", "accessibility", "best-practices", "seo"
  • device (optional): Device to emulate (defaults to "mobile")
    • Options: "mobile", "desktop"
  • throttling (optional): Whether to apply network throttling (defaults to true)

Example:

{
  "url": "https://example.com",
  "categories": ["performance", "accessibility"],
  "device": "desktop",
  "throttling": false
}

get_performance_score

Get just the performance score for a URL.

Parameters:

  • url (required): The URL to audit
  • device (optional): Device to emulate (defaults to "mobile")
    • Options: "mobile", "desktop"

Example:

{
  "url": "https://example.com",
  "device": "mobile"
}

Example Usage

Once the MCP server is configured, you can use it with Claude:

What's the performance score for example.com?

Claude will use the get_performance_score tool to analyze the website and return the results.

Requirements

  • Node.js 22.19+
  • Chrome/Chromium browser (for Lighthouse)

Endorsements

Security

Chrome runs with its sandbox enabled. Localhost, IPv4 loopback, and IPv6 loopback remain supported by default. Private, link-local, cloud metadata, and other non-public destinations are blocked, including requests made by redirects and page resources. Connections use validated IP addresses to prevent DNS rebinding. Because loopback access is intentional, audit only pages you trust to access services on your own machine. For hostile sites, use a separate environment with network isolation.

Audits are limited to one at a time and time out after 120 seconds. Chrome and the audit proxy are cleaned up after success or failure.

Public-only audits

Set AUDIT_ALLOW_LOOPBACK=false to reject loopback destinations as well as private and metadata addresses. Hosted workers must use this setting and infrastructure egress isolation. Local development keeps loopback access by default.

Collected info

  • ★ 209 stars
  • ⎇ 20 forks
  • Language: TypeScript
  • Source updated: 9/19/2026

Config for your environment

Replace {MCP_ENDPOINT_URL} with this MCP’s endpoint URL (from its repo or docs above). No API key — you connect directly.

Tool

OS

Config file: ~/.cursor/mcp.json

{
  "mcpServers": {
    "mcp-server": {
      "url": "{MCP_ENDPOINT_URL}"
    }
  }
}

Paste into mcpServers in the config file. Restart Cursor after saving.

If this MCP is also published on mcpchannel.ai, you can subscribe from Browse and use the gateway config there instead.