# Rhino MCP

> Use this tool when you need to automate 3D modeling workflows or integrate AI decision-making with Rhino 3D models. Rhino MCP solves problems such as manual modeling, data exchange, and content organization by providing a natural language interface to create, query, and edit 3D models. It takes in AI agent instructions via HTTP and outputs Rhino geometry operations, making it ideal for use cases that require automated design, simulation, or data-driven modeling.

Canonical page: https://skillsregistry.net/skills/clicky-rhinomcp  
JSON: https://api.skillsregistry.net/v1/skills/clicky-rhinomcp

## Description

Rhino MCP allows AI agents to programmatically create, query, and edit Rhino 3D models through natural language. It connects via HTTP on a configurable local port (default 4862) and translates agent instructions into Rhino geometry operations, enabling automated 3D modeling workflows. The server supports querying model information, generating geometry, and organizing content within Rhino.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/clicky-rhinomcp)
- **Repository:** <https://github.com/mcneel/rhinomcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "clicky-rhinomcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/clicky-rhinomcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/clicky-rhinomcp/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt