Direwolf
Enables robust data extraction, manipulation, and transformation for BIM applications, specifically Autodesk Revit, to facilitate communication with MCP-compatible AI agents.
Direwolf is an experimental, proof-of-concept data analysis framework designed for Autodesk Revit and other BIM applications. It provides a complete framework and protocol for extracting, manipulating, and transforming BIM data, enabling seamless data movement within applications, to external tools, and specifically to MCP-compatible LLM (AI) agents. Comprising a host (Direwolf), a RAM-based database (Wolfden), a server (Hunter), and a specialized data format (Wolfpack), it aims to establish a common language for BIM data across diverse sources and storage solutions, addressing contemporary and future technological challenges in the BIM ecosystem.
