Command Palette

Search for a command to run...

UnylyUnyly
Весь каталог

Blender Ai

БесплатноНе проверен

Connects MCP-compatible clients to a live Blender scene for AI-assisted 3D workflows, enabling inspection and controlled operations on objects, materials, camer

GitHubEmbed

Описание

Connects MCP-compatible clients to a live Blender scene for AI-assisted 3D workflows, enabling inspection and controlled operations on objects, materials, cameras, lights, render settings, animation, UVs, Geometry Nodes, imports, exports, and Python execution.

README

blender-ai-mcp is a local Model Context Protocol server plus Blender addon bridge for AI-assisted 3D workflows.

It lets an MCP client inspect the live Blender scene and perform controlled operations on objects, materials, cameras, lights, render settings, animation, UVs, Geometry Nodes, imports, exports, and Python execution.

What Is Included

  • server/: Python MCP server and tool registry.
  • blender_addon/: Blender addon that receives commands from the local bridge.
  • blender_ai_mcp/: package entry points for MCP clients.
  • docs/: setup, tool reference, and AI usage notes.

Requirements

  • Blender 3.6 LTS or newer.
  • Python 3.10 or newer.
  • Claude Desktop or another MCP-compatible client.

Quick Start

  1. Create and activate a virtual environment.

    python -m venv .venv
    .\.venv\Scripts\Activate.ps1
    pip install -r requirements.txt
    
  2. Install the addon from blender_addon/.

    In Blender, open Edit > Preferences > Add-ons > Install..., select blender_addon/__init__.py, and enable AI MCP Bridge.

  3. Start the addon server in Blender.

    In the 3D Viewport sidebar, open the AI MCP panel, confirm port 9876, and click Start Server.

  4. Configure your MCP client using mcp_config_example.json.

  5. Restart the client and confirm the blender server is available.

MCP Config

Example:

{
  "mcpServers": {
    "blender": {
      "command": "python",
      "args": ["-m", "blender_ai_mcp.server.main"],
      "env": {
        "BLENDER_MCP_PORT": "9876",
        "BLENDER_MCP_HOST": "localhost"
      }
    }
  }
}

If you use a project virtual environment, set command to that environment's Python executable.

Typical Workflow

  1. Inspect the live scene with get_scene_info and list_objects.
  2. Create or reuse the target object.
  3. Fix the origin if location and bounding_box_center do not match.
  4. Position, align, and duplicate objects using the layout tools.
  5. Apply materials and modifiers.
  6. Validate overlaps, scale, and scene quality.
  7. Render a viewport preview before reporting the task done.

Validation

Run the test suite after code changes:

pytest

Useful checks:

  • ruff check .
  • uv run --extra dev pytest tests

Documentation

Safety

The execute_python and expression-evaluation tools are for trusted local workflows only. Do not expose the Blender addon socket to a public network.

License

MIT. See LICENSE.

from github.com/alexandervi1/MCPBlender

Установка Blender Ai

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/alexandervi1/MCPBlender

FAQ

Blender Ai MCP бесплатный?

Да, Blender Ai MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Blender Ai?

Нет, Blender Ai работает без API-ключей и переменных окружения.

Blender Ai — hosted или self-hosted?

Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.

Как установить Blender Ai в Claude Desktop, Claude Code или Cursor?

Открой Blender Ai на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

Похожие MCP

Compare Blender Ai with

Не уверен что выбрать?

Найди свой стек за 60 секунд

Автор?

Embed-бейдж для README

Похожее

Все в категории ai