KGs Knowledge Graph
Builds and maintains a knowledge graph of code entities, relationships, and Git history using Kuzu database to provide codebase analysis, context-aware code generation, pattern detection, and Arduino-specific hardware analysis including pin configurations and memory usage estimation.
About
MCP server implementation by Diego Sasco that provides AI assistants with comprehensive codebase analysis and knowledge graph capabilities, specifically designed for Vibe Coding workflows with specialized support for Arduino/C++ embedded development alongside JavaScript, TypeScript, Python, and other languages. The implementation uses Kuzu graph database to build and maintain a knowledge graph of code entities, patterns, relationships, and Git history, offering tools for codebase analysis, context-aware code generation, pattern detection, and Arduino-specific hardware analysis including pin configurations, memory usage estimation, and board compatibility checks. Built with extensive validation systems, multi-layer caching, performance optimization, and structured comment parsing that extracts CONTEXT/REASON/CHANGE/PREVENTION documentation patterns, it serves developers working on embedded systems projects, teams needing AI-assisted code generation with project-specific context, and Arduino enthusiasts requiring intelligent analysis of hardware constraints and coding patterns in their sketches.
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