RhinoAI
mcp
Gecti
Health Gecti
- License — License: MIT
- Description — Repository has a description
- Active repo — Last push 0 days ago
- Community trust — 276 GitHub stars
Code Gecti
- Code scan — Scanned 12 files during light audit, no dangerous patterns found
Permissions Gecti
- Permissions — No dangerous permissions requested
Purpose
This server acts as a bridge to allow AI agents to create, edit, and control Rhino 3D models using natural language commands.
Security Assessment
Overall risk: Low. The tool runs locally as a server and allows AI agents to interact with Rhino via a local port. Because it is designed to accept external commands to manipulate your 3D software, you should inherently trust the AI agent you connect to it. However, the code scan found no hardcoded secrets, no dangerous permission requests, and no suspicious execution patterns. It does not appear to access unrelated sensitive data or make external network requests.
Quality Assessment
The project is licensed under the permissive MIT license and includes a clear description. It appears to be an actively maintained project, with its most recent code push occurring just today. The main concern is its low visibility; with only 6 stars on GitHub, the tool has not yet been widely tested or reviewed by the broader developer community. This means potential bugs might be unreported, but the lightweight, open-source nature of the project makes it easy for you to personally inspect the few files that make up the codebase.
Verdict
Use with caution due to very low community visibility, though the clean code scan and transparent purpose make it safe for local testing.
This server acts as a bridge to allow AI agents to create, edit, and control Rhino 3D models using natural language commands.
Security Assessment
Overall risk: Low. The tool runs locally as a server and allows AI agents to interact with Rhino via a local port. Because it is designed to accept external commands to manipulate your 3D software, you should inherently trust the AI agent you connect to it. However, the code scan found no hardcoded secrets, no dangerous permission requests, and no suspicious execution patterns. It does not appear to access unrelated sensitive data or make external network requests.
Quality Assessment
The project is licensed under the permissive MIT license and includes a clear description. It appears to be an actively maintained project, with its most recent code push occurring just today. The main concern is its low visibility; with only 6 stars on GitHub, the tool has not yet been widely tested or reviewed by the broader developer community. This means potential bugs might be unreported, but the lightweight, open-source nature of the project makes it easy for you to personally inspect the few files that make up the codebase.
Verdict
Use with caution due to very low community visibility, though the clean code scan and transparent purpose make it safe for local testing.
AI features for Rhino
README.md
Documentation
Full guides live at mcneel.github.io/RhinoMCP:
- Getting Started - Install the plugin and wire up an AI assistant (Claude Desktop, Claude Code, GitHub Copilot, OpenAI Codex, Gemini CLI, or a local model).
- Try It Out - Confirm everything works with a first prompt, then browse the recipes and examples.
- Advanced - Advanced workflows
- Developers - Use the Rhino MCP in your development cycle.
Quick start
The fastest path is Claude Desktop: install the Rhino3d connector and let it install the Rhino plugin for you. For other assistants, see Getting Started.
Building & Debugging
Use Run and Debug from within VSCode to build, launch Rhino, and start the MCP Server all in one click.
Getting Help
Ask questions, post discussions and ideas to the Rhino Discourse forums, or open an issue.
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