playwright-lighthouse-mcp
kbyk004/playwright-lighthouse-mcpUpdated 20 days ago01

Remote#performance-analysis#websites#LighthouseLicense: MIT LicenseLanguage: TypeScript

Playwright-Lighthouse MCP Server

A MCP server that analyzes web site performance using Playwright and Lighthouse. Through the Model Context Protocol (MCP), LLMs can perform web site performance analysis.

Features

  • Performance analysis with Lighthouse
  • Screenshot capture

Setup

Prerequisites

  • Node.js 18 or higher
  • npm

Installation

# Clone the repository
git clone https://github.com/kbyk004/playwright-lighthouse-mcp.git
cd playwright-lighthouse-mcp

# Install dependencies
npm install
npx playwright install

# Build
npm run build

Usage

Debugging MCP Server

npm run inspector

Integration with MCP Clients

This server is designed to be used with clients that support the Model Context Protocol (MCP). For example, it can be integrated with Claude for Desktop.

Configuration Example for Claude for Desktop

Add the following to the Claude for Desktop configuration file (~/Library/Application Support/Claude/claude_desktop_config.json):

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

Available Tools

1. run-lighthouse

Runs a Lighthouse performance analysis on the currently open page.

Parameters:

  • url: The URL of the website you want to analyze
  • categories: Array of categories to analyze (default: ["performance"])
    • Available categories: "performance", "accessibility", "best-practices", "seo", "pwa"
  • maxItems: Maximum number of improvement items to display for each category (default: 3, max: 5)

2. take-screenshot

Takes a screenshot of the currently open page.

Parameters:

  • url: The URL of the website you want to capture
  • fullPage: If true, captures a screenshot of the entire page (default: false)

Output Format

The analysis results include:

  • Overall scores for each selected category with color indicators
  • Key improvement areas grouped by category
  • Path to the saved report file

License

MIT License - see LICENSE for details

Installation

Claude
Claude
Cursor
Cursor
Windsurf
Windsurf
Cline
Cline
Witsy
Witsy
Spin AI
Spin AI
Run locally with the following command:
Terminal
Add the following config to your client:
JSON
{
  "mcpServers": {
    "playwright-lighthouse": {
      "env": {},
      "args": [
        "/path-to/playwright-lighthouse-mcp/build/index.js"
      ],
      "command": "node"
    }
  }
}

MCPLink

Seamless access to top MCP servers powering the future of AI integration.

© 2025 MCPLink. All rights reserved.
discordgithubdiscord