Ontologic concept
Connect Claude to a parametric model through Swiftlet MCP and let it interact with your design system.
Turn a parametric Grasshopper model into an AI-driven design system by connecting Claude to Grasshopper through Swiftlet MCP.
Format
Video concept
Focus
AI
Next step
Learn or implement
Main video
Key insights
Use these notes as a quick way to understand the workflow before or after watching the full video.
Insight 1
The AI talks to the workflow, not just about it
By exposing selected parameters and outputs, Claude can help interact with the parametric system instead of only giving abstract design suggestions.
Insight 2
Insight 2
A controlled connection between AI and Grasshopper
The important idea is to create a narrow, meaningful interface where the AI can access the parts of the model that matter without exposing the entire definition blindly.
Insight 3
Insight 3
AI does not replace the Grasshopper logic
The workflow still depends on a well-built parametric model. AI becomes a higher-level operator that can test, adjust and reason with the system.
AI + Grasshopper workflows
Join the course waitlist and learn how to structure Grasshopper definitions, expose parameters, use outputs and build AI-assisted AEC workflows without losing control over the actual design logic.
Links and resources
Use these links to move deeper into the topic, explore related learning paths, or see how Ontologic can help implement similar workflows.
Related concepts
Continue with related Grasshopper, AI, BIM and AEC automation ideas.
Expose selected Grasshopper controls and outputs so Claude can steer a parametric workflow.
Let an AI agent interact with Grasshopper parameters, model rules and outputs through Swiftlet and MCP.
AI shifts the value of computational design toward systems thinking, workflow design and tool orchestration.
