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Grasshopper MCP Server
The Grasshopper MCP server enables natural language interaction between AI models and the Rhinoceros/Grasshopper parametric design tools, supporting the connection between large language models and design software through the HTTP/WebSocket protocol.
rating : 2 points
downloads : 4
What is the Grasshopper MCP Server?
The MCP server is a bridge that connects large language models (such as ChatGPT) with the Rhino/Grasshopper parametric design software. It allows designers to create and modify complex parametric models using natural language without having to master the programming knowledge of Grasshopper in depth.How to use the MCP server?
Send natural language instructions through a simple HTTP/WebSocket interface, and the server will automatically convert them into Grasshopper operations. You can directly describe your design ideas in the AI chat interface, and the system will generate the corresponding parametric model in real - time.Applicable Scenarios
Suitable for parametric design scenarios that require rapid iteration, such as architectural concept design, product styling development, and art installation creation. Particularly suitable for early - stage design exploration and interdisciplinary collaboration.Main Features
Natural Language InteractionDescribe design intentions in everyday language and automatically generate Grasshopper definitions
Component ManagementCreate, connect, and configure Grasshopper components, including third - party plugins
Design ExecutionRun parametric models in real - time and obtain 3D results and performance data
Multi - Version SupportSimultaneously support Rhino7 (.NET6) and Rhino8 (.NET7) environments
Advantages and Limitations
Advantages
Lower the learning threshold for parametric design
Accelerate the design concept exploration process
Add a natural language interface while retaining all the functions of Grasshopper
Support seamless integration with existing Grasshopper workflows
Limitations
Require a basic Rhino/Grasshopper environment
Traditional Grasshopper knowledge is still needed for complex logic
The parameter definitions generated by AI may need manual optimization
How to Use
Installation Preparation
Select the corresponding branch according to the Rhino version: use the main branch (.NET6) for Rhino7 and the rhino8 - net7 branch (.NET7) for Rhino8
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Start the Server
Run the MCP server project in Visual Studio or start it through the command line
Connect to Grasshopper
Install the supporting plugin in Grasshopper and configure the server connection parameters
Start Interaction
Send natural language instructions to the server port through the HTTP API or WebSocket
Usage Examples
Conceptual Building GenerationGenerate building volume schemes through natural language descriptions
Parameter OptimizationOptimize design parameters based on performance indicators
Frequently Asked Questions
Is programming knowledge required?
Which AI models are supported?
How accurate is it in processing complex instructions?
Related Resources
Installation Guide
Detailed environment configuration and installation instructions
Developer Guide
API reference and extension development instructions
Example Project Library
Example projects for various application scenarios
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