MCP Agent Tools for Grasshopper Workflows
TYPE: Research
YEAR: 2025
Collaborators: Runjia Tian
YEAR: 2025
Collaborators: Runjia Tian
Parametric modeling has become central to contemporary architectural and landscape architectural
design, offering procedural control over complex geometries. Yet, interacting with these systems
typically requires specialized technical knowledge and manual manipulation of component networks, which can limit accessibility and slow down early-stage ideation. Our project introduces
an MCP–Grasshopper integration that allows LLMs to act as intelligent design agents, transforming
natural language instructions into structured parametric modeling operations. Designers can articulate spatial and conceptual goals in conversational form, with the AI interpreting, constructing, and
modifying parametric definitions in real time.
Students worked on the prototyping phase in Digital FUTURES 2025 summer workshop:
http://digitalfutures.world/Data/List/ws2025
Students worked on the prototyping phase in Digital FUTURES 2025 summer workshop:
http://digitalfutures.world/Data/List/ws2025
Scope
Methodology Framework
WIP Demo (more details comming soon)