# Rodin Gen-2 MCP Server

> Use this tool when you need to generate 3D models from text or image inputs, solving problems like automated content creation and design acceleration. The Rodin Gen-2 MCP Server integrates with the Rodin Gen-2 API, accepting text descriptions or images as inputs and producing 3D models as outputs. Ideal for use cases like architecture, product design, and gaming, this tool streamlines the design process by automating 3D model generation.

Canonical page: https://skillsregistry.net/skills/tigrondev-rodingen2mcp  
JSON: https://api.skillsregistry.net/v1/skills/tigrondev-rodingen2mcp

## Description

MCP server for integrating with Rodin Gen-2 API to generate 3D models from text descriptions or images.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-06-12

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ojivknjk6s)
- **Repository:** <https://github.com/TiGRoNdev/RodinGen2MCP>

## 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": "tigrondev-rodingen2mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tigrondev-rodingen2mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tigrondev-rodingen2mcp/pull`

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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