Grasshopper MCP Server
G

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.
2 points
6.6K

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 Interaction
Describe design intentions in everyday language and automatically generate Grasshopper definitions
Component Management
Create, connect, and configure Grasshopper components, including third - party plugins
Design Execution
Run parametric models in real - time and obtain 3D results and performance data
Multi - Version Support
Simultaneously support Rhino7 (.NET6) and Rhino8 (.NET7) environments
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
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 Generation
Generate building volume schemes through natural language descriptions
Parameter Optimization
Optimize 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

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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