mcneel/RhinoAI

AI features for Rhino

What it solves

It allows AI agents to interact directly with Rhino, enabling them to create and edit 3D geometry and designs within the software. This removes the manual effort of writing scripts or manually translating AI-generated suggestions into 3D models.

How it works

The project implements a Model Context Protocol (MCP) server. This server acts as a bridge between AI assistants (such as Claude Desktop, GitHub Copilot, or Gemini CLI) and the Rhino software, allowing the agent to execute commands and modify the project file.

Who it’s for

3D designers, architects, and developers who use Rhino and want to integrate AI-driven generative design or automated geometry creation into their workflow.

Highlights

  • MCP-based architecture for compatibility with various AI assistants.
  • Support for multiple connectors including Claude Desktop, Claude Code, and GitHub Copilot.
  • Integrated plugin installation for streamlined setup.

Related

  • Project
    hoanganh8389/bizcity-twin-ai

    Bizcity Twin AI is an open‑source WordPress plugin that turns a site into a unified AI “brain” for a business. It normalises messages from many channels, builds a single knowledge‑graph with provenance, and exposes the data to LLMs (Claude, ChatGPT) via a managed control plane. Core services (identity, KG, reasoning, automation, logging, permissions) are immutable; developers add domain‑specific capabilities through lightweight plugins (act, channel, view). The project ships a CLI scaffolding tool, diagnostics, and live demos, and is released under GPL‑2.0‑or‑later.

  • Project
    apple-aiml-research/ml-hierarchical-confusion-matrix

    Neo is an open‑source JavaScript library (npm package `@apple/hierarchical-confusion-matrix`) that provides an interactive visualisation for confusion matrices with hierarchical and multi‑output class labels. Install via npm, feed it a spec and an array of `{actual, observed, count}` records, and embed the matrix in any web page. It supports flat, hierarchical (`:`), multi‑output (`,`), and combined label structures, and comes with a live demo, unit tests, and a full TypeScript source tree.

  • Project
    jtydhr88/ComfyUI-HY-Motion1

    A ComfyUI plugin for text-to-3D human motion generation based on HY-Motion 1.0, featuring prompt optimization and exports to GLB and FBX.

  • Project
    livekit-examples/python-agents-examples

    A collection of runnable Python examples and full-stack applications for building voice, video, and telephony AI agents using the LiveKit Agents framework.