CodeRAG
Parses TypeScript, JavaScript, Java, and Python codebases into a Neo4J graph database to extract code entities, relationships, and metadata, enabling software quality analysis through 18 metrics tools and guided exploration of dependencies, inheritance patterns, and architectural issues.
About
This MCP server provides comprehensive code analysis and graph-based exploration of software projects by parsing TypeScript, JavaScript, Java, and Python codebases into a Neo4J graph database. Built by Jonathan Crabtree using TypeScript with the MCP SDK and Neo4J driver, it extracts code entities (classes, methods, functions, interfaces) and their relationships (inheritance, method calls, dependencies) while capturing rich metadata including annotations, decorators, and framework usage patterns. The implementation offers both STDIO and HTTP/SSE transport modes, includes 18 analysis tools for calculating software quality metrics (CK metrics suite, package coupling, architectural issues), and provides guided prompts for dependency analysis and inheritance exploration, making it valuable for understanding large codebases, identifying architectural problems, refactoring legacy systems, and performing code quality assessments through AI-powered graph traversal and relationship analysis.
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