MIT License
The Lighthouse MCP Server provides comprehensive web performance auditing and analysis using Google Lighthouse, enabling detailed website assessments across multiple dimensions:
Performance Analysis: Run full Lighthouse audits, monitor Core Web Vitals, and evaluate performance scores
Accessibility Audits: Check WCAG compliance and get improvement recommendations
SEO Analysis: Conduct technical audits and receive optimization guidelines
Security Assessments: Perform scans for HTTPS, CSP, and vulnerabilities
Resource Optimization: Analyze JavaScript, CSS, images, and fonts
Device Comparison: Compare performance across mobile and desktop devices
Performance Budgets: Monitor and enforce custom performance thresholds
PWA Readiness: Assess Progressive Web App compliance
Unused Code Detection: Identify and reduce unused JavaScript
Reference Resources: Access guidelines, best practices, and framework guides
Integrated Analysis: Use prompts to analyze results, compare audits, and create optimization plans
Provides integration with Codecov for tracking code coverage metrics of the server codebase itself.
Integrates with GitHub for CI/CD workflows, enabling automated quality gates and performance regression detection through GitHub Actions.
Provides comprehensive web performance auditing and analysis capabilities using Google Lighthouse, enabling detailed website performance assessments, accessibility audits, SEO analysis, security checks, and Core Web Vitals monitoring.
Offers tools to check Progressive Web App readiness and provides PWA-specific analysis to evaluate whether a website meets PWA standards and requirements.
Lighthouse MCP Server
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.
🌟 Key Features
🚀 Performance Analysis: Complete Lighthouse audits with Core Web Vitals, performance scores, and optimization recommendations
♿ Accessibility Audits: WCAG compliance checking and accessibility score analysis
🔍 SEO Analysis: Search engine optimization audits and best practice recommendations
🔒 Security Assessment: HTTPS, CSP, and security vulnerability scanning
📊 Resource Analysis: JavaScript, CSS, image, and font optimization opportunities
📱 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
📚 Reference Resources: Built-in guidelines and best practices for web performance, accessibility, SEO, and security
🛠️ 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
🚀 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
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
Go to Cursor Settings → MCP → 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
Follow the Windsurf MCP documentation. Use the following configuration:
{
"mcpServers": {
"lighthouse": {
"command": "npx",
"args": ["@danielsogl/lighthouse-mcp@latest"]
}
}
}
Install in Claude Desktop
Follow the MCP install guide, use the following configuration:
{
"mcpServers": {
"lighthouse": {
"command": "npx",
"args": ["@danielsogl/lighthouse-mcp@latest"]
}
}
}
🔧 Available Tools
The Lighthouse MCP server provides the following tools for comprehensive web analysis:
🏁 Audit Tools
Tool | Description | Parameters |
| Run a comprehensive Lighthouse audit |
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| Get accessibility score and recommendations |
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| Get SEO analysis and recommendations |
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| Check Progressive Web App readiness |
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⚡ Performance Tools
Tool | Description | Parameters |
| Get overall performance score |
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| Get Core Web Vitals metrics |
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| Compare performance across devices |
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| Check against performance budgets |
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| Find LCP optimization opportunities |
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🔍 Analysis Tools
Tool | Description | Parameters |
| Find unused JavaScript code |
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,
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| Analyze all website resources |
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🔒 Security Tools
Tool | Description | Parameters |
| Perform comprehensive security audit |
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💬 Available Prompts
The Lighthouse MCP server includes reusable prompts that help LLMs provide structured analysis and recommendations:
📊 Analysis Prompts
Prompt | Description | Parameters |
| Analyze Lighthouse audit results |
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| Compare before/after audit results |
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,
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| Get Core Web Vitals optimization recommendations |
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,
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| Get resource optimization recommendations |
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|
📚 Available Resources
The Lighthouse MCP server provides built-in reference resources with essential guidelines and best practices:
Resource | Description | URI |
| Core Web Vitals performance thresholds |
|
| Performance optimization techniques and impact |
|
| WCAG 2.1 accessibility guidelines and issues |
|
| SEO best practices and optimization opportunities |
|
| Web security best practices and vulnerabilities |
|
| Performance budget recommendations by site type |
|
| Lighthouse audit categories and scoring methods |
|
| Framework-specific optimization guides |
|
🎯 Strategy Prompts
Prompt | Description | Parameters |
| Generate comprehensive performance improvement plan |
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,
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| Create custom performance budget recommendations |
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| Generate SEO improvement recommendations |
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| Create accessibility improvement guide |
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🔧 Prompt Parameter Details
auditResults: JSON audit results from Lighthouse toolsfocusArea: Specific category to focus on ("performance","accessibility","seo","best-practices","pwa")beforeAudit/afterAudit: Lighthouse audit results before and after changeschangesImplemented: Description of changes made between auditscurrentMetrics: Current performance metrics from auditstargetGoals: Specific performance targets or business goalstimeframe: Timeline for implementing improvementsframework: Frontend framework or technology stackconstraints: Technical or business constraintswebsiteType: Type of website (e.g., e-commerce, blog, corporate)targetAudience: Target audience or market informationcomplianceLevel: WCAG compliance level ("AA"or"AAA")userGroups: Specific user groups to consider for accessibility
📋 Parameter Details
Common Parameters
url(required): The website URL to analyzedevice: 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"])
💡 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
🏗️ Architecture
The server is built using:
Model Context Protocol SDK: For MCP server implementation
Google Lighthouse: For web performance auditing
Chrome Launcher: For browser automation
TypeScript: For type safety and better developer experience
Zod: For runtime schema validation
🤝 Contributing
Contributions are welcome! Please read our Contributing Guide for details on:
Code style and standards
Testing requirements
Pull request process
Development setup
📜 License
This project is licensed under the MIT License - see the LICENSE file for details.
🔒 Security
For security issues, please see our Security Policy.
📞 Support
🐛 Bug Reports: GitHub Issues
💬 Discussions: GitHub Discussions
📧 Email: security@codingrules.ai
🙏 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
local-only server
The server can only run on the client's local machine because it depends on local resources.
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Lighthouse MCP
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