
Rhino MCP (RhinoAIBridge) is a plugin for Rhino that implements a Model Context Protocol server, enabling AI assistants to interact with models. This software utility acts as a bridge between the Rhino environment and external AI agents. By implementing the Model Context Protocol (MCP), it allows users to expose their Rhino geometry and data to AI-driven tools, facilitating natural language queries and automated model manipulation. Built on the RhinoCommon framework using Python and C#, the plugin provides a structured interface for AI to read, query, and perform operations within the software. It serves as a foundational layer for integrating large language models directly into architectural and engineering design workflows, enabling new forms of generative assistance.
The download is a 911 KB file containing .ZIP files.
To integrate this plugin, install the provided files into the Rhino environment following standard plugin loading procedures. Once active, the server establishes a communication link between the Rhino instance and your chosen AI assistant interface. Users can then leverage supported LLMs to interrogate geometry, extract object data, or execute commands within the viewport. Ensure your Python or C# environment is correctly configured to support the bridge and manage the data stream between the software and the AI server.
This tool is designed for advanced computational designers, BIM managers, and AEC professionals looking to automate repetitive modelling tasks or query complex project data using AI. It is particularly effective in high-complexity projects where rapid iteration and data retrieval are required, such as large-scale commercial developments or industrial design. By pairing this plugin with AI agents, teams can streamline their design-to-data pipelines, effectively bridging the gap between manual Rhino modelling and intelligent, automated architectural design assistance in modern office environments.
Rhino MCP (RhinoAIBridge) Plugin
Free
File formats
What changed in 1.0.0
Initial release.
MIT
Attribution: Tanishq Bhattad — licensed under MIT
Full terms have not been published for this listing. Contact the seller before using it on a commercial project.