mizchi/lighthouse-mcp
A comprehensive web application performance analysis toolset integrating Google Lighthouse with Model Context Protocol (MCP), providing structured analysis capabilities accessible to AI assistants and automation tools.
npm install -g lighthouse-mcpLIGHTHOUSE_USER_DATA_DIRThis project provides Google Lighthouse's powerful analysis capabilities through MCP (Model Context Protocol), enabling AI assistants to automatically detect, diagnose, and suggest improvements for website performance issues.
Three-Layer Architecture: Clear separation of concerns with Collection (L1) → Analysis (L2) → Intelligence (L3)
Comprehensive Performance Analysis: Detailed analysis of all metrics including Core Web Vitals
Advanced Problem Detection: Automatic identification and prioritization of performance issues
Performance Budget Management: Target tracking and violation detection
Pattern Recognition: Identification of common issues across multiple sites
MCP Integration: Standardized interface for AI assistants and automation tools
Complete Test Coverage: Quality assurance through unit, integration, and E2E tests
l2_deep_analysis
LCP delays, CLS issues, TBT increase, unused resources
l2_critical_chain
Render-blocking resources, request chains
l2_unused_code
Unused CSS/JS, dead code
l2_third_party_impact
Third-party impact, ad/analytics load
l2_lcp_chain_analysis
LCP bottlenecks, image optimization opportunities
l3_action_plan_generator
Prioritized actions, implementation guide
Details on this page are taken from the project's README. Open README
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