blender-ai-mcp
Provides tools for inspecting and manipulating Blender scenes, including objects, materials, cameras, lights, render settings, animation, UVs, Geometry Nodes, imports, exports, and Python execution.
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
blender-ai-mcp
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.
Related MCP server: Bonsai MCP
Requirements
Blender 3.6 LTS or newer.
Python 3.10 or newer.
Claude Desktop or another MCP-compatible client.
Quick Start
Create and activate a virtual environment.
python -m venv .venv .\.venv\Scripts\Activate.ps1 pip install -r requirements.txtInstall the addon from
blender_addon/.In Blender, open
Edit > Preferences > Add-ons > Install..., selectblender_addon/__init__.py, and enable AI MCP Bridge.Start the addon server in Blender.
In the 3D Viewport sidebar, open the AI MCP panel, confirm port
9876, and click Start Server.Configure your MCP client using
mcp_config_example.json.Restart the client and confirm the
blenderserver 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
Inspect the live scene with
get_scene_infoandlist_objects.Create or reuse the target object.
Fix the origin if
locationandbounding_box_centerdo not match.Position, align, and duplicate objects using the layout tools.
Apply materials and modifiers.
Validate overlaps, scale, and scene quality.
Render a viewport preview before reporting the task done.
Validation
Run the test suite after code changes:
pytestUseful 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.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
This server cannot be deployed
Maintenance
Related MCP Connectors
Connect your AI assistant to Blender for 3D modeling, Geometry Nodes, materials, lighting, animation, rendering and export. Inspect real scenes and viewport images, refine the result and restore checkpoints. OAuth connects your chat to Blender Bridge Desktop on an online Windows 10/11 x64 computer running Blender 4.2+. The chat can run on another device. Requires an active Blender Bridge account; 7-day trial available. AI model access is separate.
Nifty's MCP server — exposes tasks, projects, messages, and files as tools for AI agents.
MCP server for OpenAI API (chat completions, image generation, embeddings) via AceDataCloud
Make games with AI: one MCP server that connects your agent to Unity, Unreal and Godot editors.
Related MCP Servers
- AlicenseNot gradedqualityAmaintenanceEnables AI clients to control Blender's 3D workflow via an embedded MCP server.424 PyPI62MIT
- AlicenseAqualityDmaintenanceConnects MCP clients to a local Blender + Bonsai (BlenderBIM) session for scene inspection, IFC project querying, viewport screenshots, and executing Python code in Blender.813MIT
- AlicenseNot gradedqualityDmaintenanceEnables LLM clients like Claude to control Blender remotely, including scene inspection, object creation/modification, and Python code execution, via a socket-based MCP server.279 npmMIT
- AlicenseAqualityCmaintenanceEnables AI clients to control a running Blender instance through the Model Context Protocol, allowing scene inspection, object creation and editing, rendering, and execution of Blender Python. It works locally via a WebSocket bridge between the MCP server and a Blender add-on.15MIT