Your AI connector for Revit

Revit is the heart of modern BIM workflows, but it's still manual in all the places where intelligence could help. Pieces is your AI connector for Revit, acting as the bridge between your model and powerful AI tools like ChatGPT, Claude, and other task-specific assistants.

Whether you're designing, documenting, or auditing models, Pieces brings real-time intelligence and long-term context to your Revit environment without adding complexity.

Why use Pieces as your AI connector for Revit?

Let AI speak Revit natively

Pieces enables AI to read, understand, and interact with your Revit models using a growing set of predefined tools and intelligent context. That means:

• Ask AI about model elements and relationships

• Generate views, sheets, or schedules with natural prompts

• Automate repetitive actions like tagging or parameter updates

• Drive generative design workflows based on data and intent

• Interact with your Revit project in real time using smart memory
  
  

It’s like adding an intelligent BIM collaborator directly inside Revit.

Built for model insight, not just language

Unlike simple chat tools, the AI connector for Revit isn’t just for conversation, it’s functional. With Pieces, you can:

• Inspect model structure and geometry

• Query metadata, parameters, and constraints

• Trigger predefined functions (via MCP) inside Revit

• Receive AI-driven suggestions that adjust based on feedback

This is a major productivity unlock for architects, engineers, and BIM specialists.

What can an AI connector for Revit do?

Supported integrations & tools

Examples of tools built around this concept include:

• AI Connector for Revit (MCP) –  by Nonica; enables 36+ AI-driven Revit actions

• WiseBIM AI – converts 2D PDFs/DWGs into 3D Revit models using AI

• Pele AI – automates views, tagging, and sheet organization

• DWD AI Assistant – brings a chat assistant inside Revit

• Veras AI – generates visuals from model geometry

Pieces complements these tools by adding a long-term memory layer, unified context across platforms, and the ability to re-use past AI interactions.

Set up your AI connector for Revit

Step 1: Install PiecesOS

PiecesOS is the intelligence engine behind memory, enrichment, and model context communication.

• Compatible with Windows 10/11 and macOS Ventura+

• Download PiecesOS

Once installed, enable the Long-Term Memory Engine for persistent context across Revit sessions.

Step 2: Connect to Revit using MCP

If your AI connector supports MCP (like the Nonica or Pieces integrations):

• Launch Revit

• Open the MCP integration or command panel

• Paste your SSE endpoint from PiecesOS:
  http://localhost:{port}/model_context_protocol/{version}/sse

• Configure timeout, model, and tool access preferences

You’re now connected and ready to use AI to interrogate, automate, and explore your Revit model with memory.

Benefits of using an AI connector for Revit

• Automate repetitive documentation and modeling tasks

• Share AI insights across teams using synced context

• Use AI to generate, test, and refine spatial ideas

• Leverage AI to spot inconsistencies or missing data

• Use the same AI memory across Revit, Slack, code, and notes

Considerations

AI connectors for Revit are powerful but require some onboarding:

• Initial setup: May involve API keys, endpoint config, or model tuning

• Accuracy: AI suggestions depend on model quality and context

• Learning curve: Knowing what to ask, and how to trust it takes time

With Pieces as the AI layer, you reduce setup friction and gain a clear, privacy-first control panel for all your model-aware AI work.

Try Pieces as your AI connector for Revit today

If you're ready to connect design intelligence, model memory, and smart automation – Pieces is the missing link between Revit and the future of AI-driven BIM.

Try it today for free.