Iflow Mcp Blender Open

Open Models MCP for Blender3D using Ollama

Control Blender 3D with natural language prompts via local AI models. Built on the Model Context Protocol (MCP), connecting Claude, Cursor, or any MCP client to Blender through a local Ollama LLM.

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Architecture

MCP Client (Claude/Cursor/CLI)
         │ HTTP / stdio
         ▼
┌─────────────────────┐
│   FastMCP Server    │  ← server.py  (port 8000)
│   blender-open-mcp  │
└─────────────────────┘
    │ TCP socket           │ HTTP
    ▼                      ▼
┌──────────────┐    ┌─────────────┐
│  Blender     │    │   Ollama    │  (port 11434)
│  Add-on      │    │  llama3.2   │
│  addon.py    │    │  gemma3...  │
│  (port 9876) │    └─────────────┘
└──────────────┘
       │ bpy
       ▼
  Blender Python API

Three independent processes:

• FastMCP Server (server.py): Exposes MCP tools over HTTP or stdio
• Blender Add-on (addon.py): TCP socket server running inside Blender
• Ollama: Local LLM serving natural language queries

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Installation

Prerequisites

Dependency	Version	Install
Blender	3.0+	blender.org
Python	3.10+	System or python.org
Ollama	Latest	ollama.com
uv	Latest	pip install uv

1. Clone and set up

git clone https://github.com/dhakalnirajan/blender-open-mcp.git
cd blender-open-mcp

# Create virtual environment and install
uv venv
source .venv/bin/activate   # Linux / macOS
# .venv\Scripts\activate    # Windows

uv pip install -e .

2. Install the Blender Add-on

1. Open Blender
2. Go to Edit → Preferences → Add-ons → Install...
3. Select addon.py from the repository root
4. Enable "Blender MCP"
5. Open the 3D Viewport, press N, find the Blender MCP panel
6. Click "Start MCP Server" (default port: 9876)

3. Pull an Ollama model

ollama pull ollama run llama3.2

(Other models like Gemma3 can also be used.)

Setup

1. Start the Ollama Server: Ensure Ollama is running in the background.

2. Start the MCP Server:

blender-mcp

Custom options:

blender-mcp \
  --host 127.0.0.1 \
  --port 8000 \
  --blender-host localhost \
  --blender-port 9876 \
  --ollama-url http://localhost:11434 \
  --ollama-model llama3.2

For stdio transport (Claude Desktop, Cursor):

blender-mcp --transport stdio

---

Usage

MCP Client CLI

# Interactive shell
blender-mcp-client interactive

# One-shot scene info
blender-mcp-client scene

# Call a specific tool
blender-mcp-client tool blender_get_scene_info
blender-mcp-client tool blender_create_object '{"primitive_type": "SPHERE", "name": "MySphere"}'

# Natural language prompt
blender-mcp-client prompt "Create a metallic sphere at position 0, 0, 2"

# List all available tools
blender-mcp-client tools

Python API

import asyncio
from client.client import BlenderMCPClient

async def demo():
    async with BlenderMCPClient("http://localhost:8000") as client:
        # Scene inspection
        print(await client.get_scene_info())

        # Create objects
        await client.create_object("CUBE", name="MyCube", location=(0, 0, 0))
        await client.create_object("SPHERE", name="MySphere", location=(3, 0, 0))

        # Apply materials
        await client.set_material("MyCube", "GoldMat", color=[1.0, 0.84, 0.0, 1.0])

        # Move objects
        await client.modify_object("MySphere", location=(3, 0, 2), scale=(1.5, 1.5, 1.5))

        # PolyHaven assets
        categories = await client.get_polyhaven_categories("textures")
        await client.download_polyhaven_asset("brick_wall_001", resolution="2k")
        await client.set_texture("MyCube", "brick_wall_001")

        # Render
        await client.render_image("/tmp/my_render.png")

        # AI assistance
        response = await client.ai_prompt(
            "Write bpy code to add a sun light pointing down"
        )
        print(response)

        # Execute the generated code
        await client.execute_code(response)

asyncio.run(demo())

Claude Desktop / Cursor Integration

Add to your mcp.json (or ~/.cursor/mcp.json):

{
  "mcpServers": {
    "blender-open-mcp": {
      "command": "blender-mcp",
      "args": ["--transport", "stdio"]
    }
  }
}

---

Available Tools

Tool	Description	Modifies Blender
blender_get_scene_info	Full scene summary: objects, camera, render settings	No
blender_get_object_info	Detailed object info: transforms, materials, mesh stats	No
blender_create_object	Add a primitive mesh (CUBE, SPHERE, CYLINDER, ...)	Yes
blender_modify_object	Change location, rotation, scale, visibility	Yes
blender_delete_object	Remove an object from the scene	Yes ⚠️
blender_set_material	Create and assign a Principled BSDF material	Yes
blender_render_image	Render current scene to a file	Yes
blender_execute_code	Run arbitrary Python/bpy code in Blender	Yes ⚠️
blender_get_polyhaven_categories	List PolyHaven asset categories	No
blender_search_polyhaven_assets	Search PolyHaven library with pagination	No
blender_download_polyhaven_asset	Download & import a PolyHaven asset	Yes
blender_set_texture	Apply a downloaded PolyHaven texture to an object	Yes
blender_ai_prompt	Send a natural language prompt to Ollama	No
blender_get_ollama_models	List available local Ollama models	No
blender_set_ollama_model	Switch the active Ollama model	No
blender_set_ollama_url	Update the Ollama server URL	No

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Default Ports

Service	Port
FastMCP Server	8000
Blender Add-on (TCP)	9876
Ollama	11434

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Development

# Install dev dependencies
uv pip install -e ".[dev]"

# Run tests
pytest tests/ -v

# Type checking
mypy src/

# Linting
ruff check src/ client/

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Troubleshooting

Problem	Solution
Cannot connect to Blender add-on	Open Blender → N-sidebar → Blender MCP → Start MCP Server
Cannot connect to Ollama	Run ollama serve in a terminal
Object not found	Check exact object name via blender_get_scene_info
Render fails	Ensure the output directory exists and is writable
PolyHaven download fails	Check internet connection; try a lower resolution

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License

MIT License. See LICENSE for details.

This project is not affiliated with the Blender Foundation.