Revit + Claude MCP for Beginners | Step-by-Step

Did #AI just change #Revit workflows forever? In this video, Prof Rino breaks down how Revit #MCP (Model Context Protocol) is transforming #BIM by introducing agentic AI into real-world workflows. This is not a plugin, script, or Dynamo workflow. This is an AI agent that can open your Revit model, understand it, modify elements, fix errors, and even generate new geometry automatically. We explore how #MCP connects AI models like Claude to Revit, enabling goal-driven automation where the AI can plan, act, and iterate until the task is complete. From creating walls and rooms to fixing modelling errors and generating layouts, you will see how AI agents are redefining how we interact with BIM. The video also compares open-source Revit MCP with the Nonica AI Connector, showing practical workflows such as: • Visualizing and filtering BIM elements • Colouring doors by level and fire rating • Exporting model data to Excel for quantity take-offs • Generating layouts and fixing modelling issues automatically The MCPs shown in this video are: Nonica MCP: https://tools.nonica.io/AIConnector Revit-mcp: https://github.com/mcp-servers-for-re... We also discuss the limitations of current AI workflows, including challenges in spatial understanding and model creation, and what this means for the future of BIM and design professionals. If you work in construction, engineering, or digital design, this is a practical, hands-on look at how AI + BIM + MCP are converging to reshape the industry. This video is based on a full live demonstration and testing of Revit MCP workflows Subscribe for more content on AI in BIM, Revit automation, and the future of digital construction. Chapters 0:00 Intro 0:49 What is Agentic AI 2:15 What is MCP 6:27 Revit MCPs (Intallation) 8:57 Nonica MCP demo 13:53 Revit MCP demo