Overview

Blender MCP (also known as BlenderMCP) by Siddharth Ahuja is the leading open-source Model Context Protocol (MCP) server that bridges AI language models — especially Claude — with Blender, the powerful free and open-source 3D creation suite.

It allows AI assistants to directly interact with a live Blender session: creating objects, modifying geometry, applying materials, setting up lighting, rendering scenes, and more — all through natural language prompts.

The system uses a dual architecture: a Blender addon that exposes a socket server inside Blender, and a Python MCP server that translates AI tool calls into Blender Python API (bpy) commands.

Key Features

Natural Language 3D Control: Prompt Claude to "create a low-poly mountain with snow caps" or "add a realistic car model and animate the wheels".
Real-time Scene Manipulation: Add, edit, delete objects; modify meshes, apply modifiers, set materials, cameras, and lights.
Inspection & Analysis: Query current scene state, list objects, analyze geometry, or get render previews.
Automation Workflows: Generate complex scenes, iterate on designs, export models, or run batch operations.
Live Connection: Works with a running Blender instance for immediate visual feedback.
MCP Client Support: Compatible with Claude Desktop, Cursor, VS Code with MCP extensions, and other compliant AI tools.
Extensible: Community forks add more tools, support for other LLMs (Ollama, Gemini), or specialized features like text-to-4D.

Use Cases

AI-Assisted 3D Modeling: Generate 3D assets, characters, environments, or product visualizations from text descriptions.
Rapid Prototyping: Iterate on designs conversationally without deep Blender knowledge.
Scene Building & Storytelling: Create animated scenes, architectural visualizations, or game assets.
Education & Learning: New users learn Blender while the AI handles complex operations.
Creative Pipelines: Combine with other MCP servers (e.g., image generation or code tools) for full AI-driven content creation.
Automation & Batch Processing: Script repetitive modeling tasks via AI orchestration.

Installation & Setup

1. Blender Addon

Download addon.py from the repository.
In Blender: Edit → Preferences → Add-ons → Install → Enable "Blender MCP".
Open the sidebar (N key) → Blender MCP tab → Start the internal socket server.

2. MCP Server

Install via pip install blender-mcp or clone the repo.
Run the server (default port 9876).

3. Connect to AI Client

Add the MCP server to Claude Desktop, Cursor, or your preferred client configuration.
Start prompting in natural language while Blender is open.

Many YouTube tutorials provide step-by-step visual guides for Windows, macOS, and Linux.

Alternatives & Community

Several forks and variants exist, including:

PolyMCP / llm-use Blender-MCP-Server (50+ tools, HTTP-based).
Open-source LLM variants (Ollama integration).
Enhanced versions for specific workflows (e.g., text-to-4D, VXAI).

The original ahujasid/blender-mcp remains the most popular and widely referenced implementation (thousands of stars and active community usage).

Compatibility

Blender: Works with recent versions supporting Python scripting.
Clients: Claude Desktop, Cursor, any MCP-compliant AI application.
License: Open-source (MIT-style, check repo for details).

Blender MCP represents a major leap toward AI-native 3D content creation, dramatically lowering the barrier for generating high-quality 3D models and scenes.