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Lighthouse MCP Server

@danielsogl

代码仓库主页

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

danielsogl

关于 Lighthouse MCP Server

MCP server that enables AI agents to perform comprehensive web audits using Google Lighthouse with 13+ tools for performance, accessibility, SEO, and security analysis.

#mcp#lighthouse#lighthouse-audits#lighthouse-score#mcp-server

Lighthouse MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "lighthouse-mcp-server": {
      "command": "npx",
      "args": [
        "@danielsogl/lighthouse-mcp@latest",
        "--chrome-path",
        "/usr/bin/google-chrome"
      ]
    }
  }
}

Lighthouse MCP Server 工具

11

Run a comprehensive Lighthouse audit on a website

Get the accessibility score and recommendations for a website

Get SEO analysis and recommendations for a website

Get the performance score for a website

Get Core Web Vitals metrics for a website

Compare website performance between mobile and desktop devices

Check if website performance meets specified budget thresholds

Get LCP optimization opportunities for a website

Find unused JavaScript code to reduce bundle size

Analyze website resources (images, JS, CSS, fonts) for optimization opportunities

Perform security audit checking HTTPS, CSP, and other security measures

概览

What is Lighthouse MCP Server?

A Model Context Protocol (MCP) server that provides comprehensive web performance auditing and analysis using Google Lighthouse. It enables LLMs and AI agents to perform detailed website performance assessments, accessibility audits, SEO analysis, security checks, and Core Web Vitals monitoring.

How to use Lighthouse MCP Server?

Install via npx @danielsogl/lighthouse-mcp@latest and configure in your MCP client (VS Code, Cursor, Windsurf, Claude Desktop). For authenticated sessions, launch with a persistent Chrome profile using --profile-path and --no-headless. Attach to an existing Chrome instance using --chrome-port.

Key features of Lighthouse MCP Server

  • Performance analysis with Core Web Vitals and optimization recommendations
  • Accessibility audits with WCAG compliance checking
  • SEO analysis and best practice recommendations
  • Security assessment including HTTPS, CSP, and vulnerability scanning
  • Resource analysis for JavaScript, CSS, images, and fonts
  • Comparative mobile vs desktop analysis with throttling options
  • Performance budgets with custom threshold monitoring

Use cases of Lighthouse MCP Server

  • Automate Lighthouse audits for continuous performance monitoring
  • Assess accessibility compliance and generate WCAG reports
  • Analyze SEO opportunities and track best practices
  • Compare performance across mobile and desktop devices
  • Enforce performance budgets in CI/CD pipelines

常见问题

1

What are the runtime requirements?

Node.js 22.0.0 or newer and Chrome/Chromium (automatically managed by Lighthouse).

2

How do I use authenticated sessions with cookies and local storage?

Launch with a persistent Chrome profile using `--profile-path <path>` and `--no-headless`. Profile mode disables storage reset so sessions persist across audits.

3

Can I attach to an existing Chrome instance?

Yes, use `--chrome-port <port>` or `--remote-debugging-port <port>` to connect to a Chrome instance launched with remote debugging enabled. Pass `--profile-path` to preserve storage.

4

What tools are available for web analysis?

Tools include `run_audit`, `get_performance_score`, `get_core_web_vitals`, `get_accessibility_score`, `get_seo_analysis`, `check_performance_budget`, `analyze_resources`, `find_unused_javascript`, and `get_security_audit`.

5

Does the server support WSL2?

Yes, set the Chrome binary path explicitly via `--chrome-path` or the `CHROME_PATH` environment variable to select the correct Linux binary.

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