01Exposes a `search_etabs_docs` MCP tool.
02Accepts natural language queries about ETABS.
03Uses local sentence transformer models for embedding generation.
04Stores embeddings in a local ChromaDB database.
05Returns relevant text snippets from documentation with source file references.
060 GitHub stars