# mcp-server-3daistudio [Health: Active]

**Category:** 💻 Developer Tools  
**Repository:** https://github.com/whale-professor/3daistudio_skill  
**GitHub Stars:** 2  
**Views:** 0  
**Installs:** 0  
**Upvotes:** 0  
**Directory Page:** https://allmcps.com/mcp/mcp-server-3daistudio

## Description
MCP server for 3D AI Studio — generate 3D models from text or images using Hunyuan and TRELLIS

## Claude Desktop Quick Installation
Remote MCP endpoint (confidence: high). Install path detected from listing signals. Add as a URL/SSE server in your client:

```json
"mcpServers": {
  "mcp-server-3daistudio": {
    "url": "https://www.3daistudio.com"
  }
}
```

## Documentation & README

# 3D AI Studio Skill

A skill for converting images and text prompts to 3D models using the [3D AI Studio API](https://www.3daistudio.com).

## Owner

Whale Professor (@WhaleProfessor on Telegram)

## Setup

1. Get an API key from https://www.3daistudio.com/Platform/API
2. Set the environment variable:
   ```bash
   export THREE_D_AI_STUDIO_API_KEY="your-api-key"
   ```
   Or copy `.env.example` to `.env` and fill in your key.
3. Run the skill:
   ```bash
   python 3daistudio.py balance
   ```

## Supported Models

| Model | Input | Speed | Credits |
|-------|-------|-------|---------|
| **TRELLIS.2** | Image only | 25s–4min | 15–55 |
| **Hunyuan Rapid** | Text or image | 2–3min | 35–55 |
| **Hunyuan Pro** | Text or image | 3–6min | 60–100 |

## Quick Start

```bash
# Check balance
python 3daistudio.py balance

# Image to 3D with TRELLIS.2
python 3daistudio.py trellis --image photo.png -o model.glb

# Text to 3D with Hunyuan Rapid
python 3daistudio.py rapid --prompt "a wooden chair" -o chair.glb

# Text to 3D with Hunyuan Pro (best quality)
python 3daistudio.py pro --prompt "a cute blue hedgehog" -o hedgehog.glb
```

## MCP Server

An MCP server is also included for use with Claude Desktop or Claude Code. See [`mcp-server-3daistudio/`](https://github.com/whale-professor/3daistudio_skill/blob/HEAD/mcp-server-3daistudio/) for the installable package, or use `mcp_server.py` directly as a standalone server.

## Documentation

- [GUIDE.md](https://github.com/whale-professor/3daistudio_skill/blob/HEAD/GUIDE.md) — Full usage guide with all options and examples
- [SKILL.md](https://github.com/whale-professor/3daistudio_skill/blob/HEAD/SKILL.md) — Skill metadata and quick reference
- [CLAUDE.md](https://github.com/whale-professor/3daistudio_skill/blob/HEAD/CLAUDE.md) — Instructions for AI agents

## License

MIT

