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

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Lighthouse MCP Server

NPM Version License: MIT Node Version CI Coverage Sponsor

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

Lighthouse MCP server

🌟 Key Features

  • πŸš€ Performance Analysis: Complete Lighthouse audits with Core Web Vitals, performance scores, and optimization recommendations
  • β™Ώ Accessibility Audits: WCAG compliance checking and accessibility score analysis
  • πŸ” SEO Analysis: Search engine optimization audits and best practice recommendations
  • πŸ”’ Security Assessment: HTTPS, CSP, and security vulnerability scanning
  • πŸ“Š Resource Analysis: JavaScript, CSS, image, and font optimization opportunities
  • πŸ“± Mobile vs Desktop: Comparative analysis across devices with throttling options
  • ⚑ Core Web Vitals: LCP, FID, CLS monitoring with threshold checking
  • 🎯 Performance Budgets: Custom performance thresholds and budget monitoring
  • πŸ“š Reference Resources: Built-in guidelines and best practices for web performance, accessibility, SEO, and security

πŸ› οΈ Requirements

  • Node.js 22.0.0 or newer
  • Chrome/Chromium browser (automatically managed by Lighthouse)
  • VS Code, Cursor, Windsurf, Claude Desktop, or any other MCP client

πŸš€ Getting Started

Install the Lighthouse MCP server with your preferred client using one of the configurations below:

{
  "mcpServers": {
    "lighthouse": {
      "command": "npx",
      "args": ["@danielsogl/lighthouse-mcp@latest"]
    }
  }
}

Install in VS Code

Install in VS Code

Install in VS Code Insiders

Manual VS Code Installation

You can also install the Lighthouse MCP server using the VS Code CLI:

# For VS Code
code --add-mcp '{"name":"lighthouse","command":"npx","args":["-y","@danielsogl/lighthouse-mcp@latest"]}'

# For VS Code Insiders
code-insiders --add-mcp '{"name":"lighthouse","command":"npx","args":["-y","@danielsogl/lighthouse-mcp@latest"]}'

After installation, the Lighthouse MCP server will be available for use with your GitHub Copilot agent in VS Code.

Install in Cursor

Install MCP Server

Manual Cursor Installation

Go to Cursor Settings β†’ MCP β†’ Add new MCP Server. Name it "lighthouse", use command type with the command npx @danielsogl/lighthouse-mcp@latest:

{
  "mcpServers": {
    "lighthouse": {
      "command": "npx",
      "args": ["@danielsogl/lighthouse-mcp@latest"]
    }
  }
}

Install in Windsurf

Install in Windsurf

Manual Windsurf Installation

Follow the Windsurf MCP documentation. Use the following configuration:

{
  "mcpServers": {
    "lighthouse": {
      "command": "npx",
      "args": ["@danielsogl/lighthouse-mcp@latest"]
    }
  }
}

Install in Claude Desktop

Claude Desktop Installation

Follow the MCP install guide, use the following configuration:

{
  "mcpServers": {
    "lighthouse": {
      "command": "npx",
      "args": ["@danielsogl/lighthouse-mcp@latest"]
    }
  }
}

πŸ”§ Available Tools

The Lighthouse MCP server provides the following tools for comprehensive web analysis:

🏁 Audit Tools

Tool Description Parameters
run_audit Run a comprehensive Lighthouse audit url, categories?, device?, throttling?
get_accessibility_score Get accessibility score and recommendations url, device?, includeDetails?
get_seo_analysis Get SEO analysis and recommendations url, device?, includeDetails?
check_pwa_readiness Check Progressive Web App readiness url, device?, includeDetails?

⚑ Performance Tools

Tool Description Parameters
get_performance_score Get overall performance score url, device?
get_core_web_vitals Get Core Web Vitals metrics url, device?, includeDetails?, threshold?
compare_mobile_desktop Compare performance across devices url, categories?, throttling?, includeDetails?
check_performance_budget Check against performance budgets url, device?, budget
get_lcp_opportunities Find LCP optimization opportunities url, device?, includeDetails?, threshold?

πŸ” Analysis Tools

Tool Description Parameters
find_unused_javascript Find unused JavaScript code url, device?, minBytes?, includeSourceMaps?
analyze_resources Analyze all website resources url, device?, resourceTypes?, minSize?

πŸ”’ Security Tools

Tool Description Parameters
get_security_audit Perform comprehensive security audit url, device?, checks?

πŸ’¬ Available Prompts

The Lighthouse MCP server includes reusable prompts that help LLMs provide structured analysis and recommendations:

πŸ“Š Analysis Prompts

Prompt Description Parameters
analyze-audit-results Analyze Lighthouse audit results auditResults, focusArea?
compare-audits Compare before/after audit results beforeAudit, afterAudit, changesImplemented?
optimize-core-web-vitals Get Core Web Vitals optimization recommendations coreWebVitals, framework?, constraints?
optimize-resources Get resource optimization recommendations resourceAnalysis, loadingStrategy?, criticalUserJourneys?

πŸ“š Available Resources

The Lighthouse MCP server provides built-in reference resources with essential guidelines and best practices:

Resource Description URI
core-web-vitals-thresholds Core Web Vitals performance thresholds lighthouse://performance/core-web-vitals-thresholds
optimization-techniques Performance optimization techniques and impact lighthouse://performance/optimization-techniques
wcag-guidelines WCAG 2.1 accessibility guidelines and issues lighthouse://accessibility/wcag-guidelines
seo-best-practices SEO best practices and optimization opportunities lighthouse://seo/best-practices
security-best-practices Web security best practices and vulnerabilities lighthouse://security/best-practices
budget-guidelines Performance budget recommendations by site type lighthouse://performance/budget-guidelines
categories-scoring Lighthouse audit categories and scoring methods lighthouse://audits/categories-scoring
framework-guides Framework-specific optimization guides lighthouse://frameworks/optimization-guides

🎯 Strategy Prompts

Prompt Description Parameters
create-performance-plan Generate comprehensive performance improvement plan currentMetrics, targetGoals?, timeframe?
create-performance-budget Create custom performance budget recommendations currentMetrics, businessGoals?, userBase?
seo-recommendations Generate SEO improvement recommendations seoAudit, websiteType?, targetAudience?
accessibility-guide Create accessibility improvement guide accessibilityAudit, complianceLevel?, userGroups?

πŸ”§ Prompt Parameter Details

  • auditResults: JSON audit results from Lighthouse tools
  • focusArea: Specific category to focus on ("performance", "accessibility", "seo", "best-practices", "pwa")
  • beforeAudit / afterAudit: Lighthouse audit results before and after changes
  • changesImplemented: Description of changes made between audits
  • currentMetrics: Current performance metrics from audits
  • targetGoals: Specific performance targets or business goals
  • timeframe: Timeline for implementing improvements
  • framework: Frontend framework or technology stack
  • constraints: Technical or business constraints
  • websiteType: Type of website (e.g., e-commerce, blog, corporate)
  • targetAudience: Target audience or market information
  • complianceLevel: WCAG compliance level ("AA" or "AAA")
  • userGroups: Specific user groups to consider for accessibility

πŸ“‹ Parameter Details

Common Parameters

  • url (required): The website URL to analyze
  • device: Target device ("desktop" or "mobile", default: "desktop")
  • includeDetails: Include detailed audit information (default: false)
  • throttling: Enable network/CPU throttling (default: false)

Specific Parameters

  • categories: Lighthouse categories to audit (["performance", "accessibility", "best-practices", "seo", "pwa"])
  • threshold: Custom thresholds for metrics (e.g., {"lcp": 2.5, "fid": 100, "cls": 0.1})
  • budget: Performance budget limits (e.g., {"performanceScore": 90, "largestContentfulPaint": 2500})
  • resourceTypes: Resource types to analyze (["images", "javascript", "css", "fonts", "other"])
  • minBytes: Minimum file size threshold for analysis (default: 2048)
  • checks: Security checks to perform (["https", "mixed-content", "csp", "hsts", "vulnerabilities"])

πŸ’‘ Usage Examples

Basic Performance Audit

// Get overall performance score
{
  "tool": "get_performance_score",
  "arguments": {
    "url": "https://example.com",
    "device": "mobile"
  }
}

Core Web Vitals Analysis

// Check Core Web Vitals with custom thresholds
{
  "tool": "get_core_web_vitals",
  "arguments": {
    "url": "https://example.com",
    "device": "mobile",
    "includeDetails": true,
    "threshold": {
      "lcp": 2.5,
      "fid": 100,
      "cls": 0.1
    }
  }
}

Security Assessment

// Comprehensive security audit
{
  "tool": "get_security_audit",
  "arguments": {
    "url": "https://example.com",
    "checks": ["https", "csp", "hsts"]
  }
}

Resource Optimization

// Find optimization opportunities
{
  "tool": "analyze_resources",
  "arguments": {
    "url": "https://example.com",
    "resourceTypes": ["images", "javascript"],
    "minSize": 1024
  }
}

Using Reference Resources

Access built-in guidelines and best practices:

// Get Core Web Vitals thresholds
{
  "resource": {
    "uri": "lighthouse://performance/core-web-vitals-thresholds"
  }
}

// Access WCAG accessibility guidelines
{
  "resource": {
    "uri": "lighthouse://accessibility/wcag-guidelines"
  }
}

// Get framework-specific optimization guides
{
  "resource": {
    "uri": "lighthouse://frameworks/optimization-guides"
  }
}

Using Prompts for Analysis

// Analyze audit results with focused recommendations
{
  "prompt": "analyze-audit-results",
  "arguments": {
    "auditResults": "{...lighthouse audit json...}",
    "focusArea": "performance"
  }
}

// Create a performance improvement plan
{
  "prompt": "create-performance-plan",
  "arguments": {
    "currentMetrics": "{...current performance metrics...}",
    "targetGoals": "Achieve 90+ performance score and sub-2s LCP",
    "timeframe": "3 months"
  }
}

// Compare before/after audit results
{
  "prompt": "compare-audits",
  "arguments": {
    "beforeAudit": "{...before audit results...}",
    "afterAudit": "{...after audit results...}",
    "changesImplemented": "Implemented lazy loading and image optimization"
  }
}

🎯 Use Cases

  • Performance Monitoring: Automated performance tracking and Core Web Vitals monitoring
  • Accessibility Compliance: WCAG 2.1 compliance checking and remediation guidance
  • SEO Optimization: Technical SEO audits and search engine optimization recommendations
  • Security Assessment: Vulnerability scanning and security best practice validation
  • Resource Optimization: Bundle analysis and optimization opportunity identification
  • Performance Budgets: Automated performance budget monitoring and alerting
  • CI/CD Integration: Automated quality gates and performance regression detection

πŸ—οΈ Architecture

The server is built using:

🀝 Contributing

Contributions are welcome! Please read our Contributing Guide for details on:

  • Code style and standards
  • Testing requirements
  • Pull request process
  • Development setup

πŸ“œ License

This project is licensed under the MIT License - see the LICENSE file for details.

πŸ”’ Security

For security issues, please see our Security Policy.

πŸ“ž Support

πŸ™ Acknowledgments

  • Google Lighthouse team for the excellent auditing engine
  • Anthropic for the Model Context Protocol specification
  • The open source community for continuous inspiration and contributions

Built with ❀️ by Daniel Sogl

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

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