Codebase Analyzer
Analyzes Python code using AST, stores information in Weaviate, and provides querying via an MCP server.
About
Codebase Analyzer is a comprehensive tool designed for in-depth analysis of Python codebases. It leverages Abstract Syntax Trees (AST) to parse code, extract key elements like functions, classes, and variables, and store this information in a Weaviate vector database. By utilizing Google's Gemini models for optional LLM enrichment, it generates semantic descriptions and embeddings, enabling Retrieval-Augmented Generation (RAG) for answering natural language questions about the code. The tool exposes analysis and querying capabilities through a Model Context Protocol (MCP) server, offering features such as file watching, codebase dependency management, cross-codebase querying, and MermaidJS call graph visualization, providing a powerful solution for understanding and navigating complex Python projects.
Key Features
- Answers natural language questions about the codebase using RAG.
- Stores code elements and vector embeddings in Weaviate.
- Optionally generates semantic descriptions and embeddings using Gemini.
- Parses Python code using AST to extract code elements and relationships.
- 3 GitHub stars
- Exposes analysis and querying capabilities through an MCP server.
Use Cases
- Understanding complex Python codebases.
- Visualizing call graphs to identify dependencies.
- Answering questions about code structure and functionality.
