general 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.
Discovered via github-seeds:mcp-hot and last synced 3mo ago.
1. Install the package
npx @danielsogl/lighthouse-mcp
2. Add to claude_desktop_config.json
{
"mcpServers": {
"-danielsogl-lighthouse-mcp": {
"command": "npx",
"args": [
"@danielsogl/lighthouse-mcp"
]
}
}
}Config file location: ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) / %APPDATA%\Claude\claude_desktop_config.json (Windows)
Run a comprehensive Lighthouse audit
Analyze Lighthouse audit results
Get Core Web Vitals optimization recommendations
Performance budget recommendations by site type
Get overall performance score
Description
Framework-specific optimization guides
Get Core Web Vitals metrics
Perform comprehensive security audit
Performance optimization techniques and impact
Generate comprehensive performance improvement plan
Find LCP optimization opportunities
Analyze all website resources
SEO best practices and optimization opportunities
Find unused JavaScript code
Compare before/after audit results
WCAG 2.1 accessibility guidelines and issues
Get accessibility score and recommendations
Compare performance across devices
Get resource optimization recommendations
Web security best practices and vulnerabilities
Create custom performance budget recommendations
Get SEO analysis and recommendations
Check against performance budgets
Generate SEO improvement recommendations
Check Progressive Web App readiness
Description
Core Web Vitals performance thresholds
Lighthouse audit categories and scoring methods
Create accessibility improvement guide
Description
Implementing and auditing GCP VPC firewall rules to enforce network segmentation, restrict ingress and egress traffic, apply hierarchical firewall policies across the organization, and monitor firewall rule effectiveness using VPC Flow Logs.
Auditing Google Cloud Platform IAM permissions to identify overly permissive bindings, primitive role usage, service account key proliferation, and cross-project access risks using gcloud CLI, Policy Analyzer, and IAM Recommender.
Configuring Google Cloud Identity-Aware Proxy (IAP) to enforce per-request identity verification for Compute Engine, App Engine, Cloud Run, and GKE services using access levels, context-aware policies, and programmatic access with service accounts.
Implement GCP Binary Authorization to enforce deploy-time security controls that ensure only trusted, attested container images are deployed to Google Kubernetes Engine and Cloud Run.
Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
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