Side-by-side comparison of two Model Context Protocol servers — install paths, tools, quality signals, and directory engagement so you can pick the right one for Claude, Cursor, and other MCP clients.
/🏠 - A Model Context Protocol (MCP) server for Kubernetes that enables AI assistants like Claude, Cursor, and others to interact with Kubernetes clusters through natural language.
Cloud infrastructure analysis for AI coding assistants — detects IaC drift, missing indexes, security gaps, and performance anti-patterns across AWS services and databases. 13 tools, works with Claude Code and Cursor.
Quality signal
56/100 (Good)
51/100 (Fair)
Install path
npx · high
npx · high
Engagement
2 0 0 944
1 0 0 19
Tools
Natural language interface for Kubernetes managementCrash diagnostics with logs and event analysisAutomated deployment creation with best practicesNetwork and service connectivity troubleshootingSecurity auditing including RBAC and secrets scanningInteractive HTML dashboards with live metrics
Static analysis of AWS infrastructure and database schemasDetection of full table scans and missing indexesIdentification of hot partition risks and query cost issuesGenerates MCP context files for AI assistant integrationSupports multiple editors including VS Code, Claude Code, and CursorCaches analysis results and updates on code or environment changes
