# Rhino 8

> Use this tool when you need to automate 3D modeling workflows or enable conversational interfaces to control Rhino 8. RhinoMCP solves problems related to programmatic control of modeling operations, allowing AI assistants to interact with Rhino's environment. It takes start and stop commands as inputs and exposes Rhino's functionality through the Model Context Protocol, outputting controlled modeling operations.

Canonical page: https://skillsregistry.net/skills/jingcheng-chen-rhino-8  
JSON: https://api.skillsregistry.net/v1/skills/jingcheng-chen-rhino-8

## Description

RhinoMCP is a plugin for Rhino 8 that implements the Model Context Protocol, enabling AI assistants to interact with Rhino's 3D modeling environment. The plugin creates a server that exposes Rhino's functionality through MCP, allowing for programmatic control of modeling operations. Built on the C# SDK for MCP, it features start and stop commands to manage the server connection, making it useful for automating design workflows and enabling conversational interfaces to control Rhino.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-04-30

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/jingcheng-chen-rhino-8)
- **Repository:** <https://github.com/jingcheng-chen/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": "jingcheng-chen-rhino-8"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jingcheng-chen-rhino-8` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jingcheng-chen-rhino-8/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