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Trellis MCP Server

by FishWoWater

Design/3D3DTrellisBlenderText-to-3D

Trellis MCP provides an interface between AI assistants and Trellis via Model Context Protocol (MCP). It allows generating 3D assets from text using the Trellis API and importing them into Blender.

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Trellis MCP Server

Trellis MCP provides an interface between AI assistants and Trellis via Model Context Protocol (MCP).

Disclaimer

This project shows a very minimal integration of MCP with Trellis: a lightweight and opensource text-to-3d/image-to-3d 3DAIGC model. Compared with existing rodin integration in blender-mcp and tripo integration, it has following advantages:

  • Faster and memory-efficient: You can deploy TRELLIS locally with only 8GPU+ VRAM, while can generate a textured mesh from text in only ~15s(10s with more vram).
  • FREE: You DON'T have to pay expensive API from Rodin/Meshy/Tripo.

BUT IT HAS FOLLOWING LIMITATIONS:

  • Trellis is open-source and there is no off-the-shelf API model providers, you have to deploy it by yourself (refer to README).
  • The API/Prompt has NOT been fully tested/tuned, may suffer from stability issues.

So use it at your own risk.

Demo

A minimal demo for generating a single object, more complicated prompt with blender-mcp is under tuning.

Demo

Demo

Features

  • [x] Generate 3D asset from natural language(TEXT) using Trellis API and import into blender
  • [ ] Generate texture/materials from natural language(TEXT) for a given 3D mesh using Trellis API and import into blender

Roadmap

Prerequisites

Installation

1. Trellis blender addon
  1. Download Trellis Blender Addon from here
  2. Open Blender -> Edit -> Preferences -> Add-ons -> Install from file -> Select the downloaded addon -> Install
  3. In 3D Viewport -> View3D > Sidebar > TRELLIS -> Start MCP Server
2. Configure API backend

As trellis is a free open-source text-to-3d model, you need to deploy your own trellis API backend with reference to README

# clone an API fork of trellis 
git clone https://github.com/FishWoWater/TRELLIS
cd TRELLIS

# EDIT BACKEND URL in trellis_api/config.py

# configure the # of text workers and start ai worker
# no need for image workers 
python trellis_api/ai_worker.py --text-workers-per-gpu 1 --image-workers-per-gpu 0

# start web server 
python trellis_api/web_server.py 

# or on windows local dev 
python trellis_api/web_server_single.py
3. Configure the MCP server on Windsurf/Cursor/Claude
{
    "mcpServers": {
        "trellis-blender": {
            "command": "uvx",
            "args": [
                "trellis-mcp"
            ]
        }
    }
}

Acknowledgements