A safe local bridge between Generative AI (LLMs) and Autodesk Revit using MCP
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Updated
Apr 4, 2026 - Python
A safe local bridge between Generative AI (LLMs) and Autodesk Revit using MCP
Translating vague or complex product requirements into system design specifications, tech-stack selection, complete architecture and diagram. It uses RAG to collect and use context from files and previous user requirements.
This script extracts the width, length, and height of each element of type "IfcColumn". (gives the same results as BIM viewers)
FAGON system API developed with NestJS and PostgreSQL. Supports user management with role-based access (RBAC), project creation with technical data, inspection location tracking, PDF report generation, and temporary access for field inspectors.
Frontend of the FAGON system, built with Next.js and Tailwind CSS. Internal platform for the FAGON company to manage technical inspection projects, featuring dashboards, role-based authentication, REST API integration, and PDF report generation. Focused on streamlining the engineering and architecture workflow of FAGON’s team.
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