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blender-mcp Review

blender-mcp is an open-source community plugin that enables control of Blender 3D with various large language models through the Model Context Protocol.

shipped Aug 12, 2026freemium
blender-mcp — product screenshot

Why it matters

1Supports multiple AI models including Claude, ChatGPT, Gemini, Cursor, and Ollama.
2Integrates with 3D generation services like Hyper3D Rodin and Hunyuan3D.
3Allows natural language control for Blender 3.6 and newer versions.
4Offers a freemium pricing model with an open-source core.

About blender-mcp

Business Model
Open Source
Funding
Bootstrapped
Platforms
Web
Target Audience
3D artists and developers using Blender

Leadership

Siddharth AhujaFounderLinkedIn
GitHubOpen Source

Specs

API Docs

View Documentation →

API Available

Yes, public API

overview

What is blender-mcp?

blender-mcp is an AI integration tool developed by Siddharth Ahuja that enables 3D artists and developers to control Blender 3D with natural language using any LLM of their choice. It acts as a bridge, connecting AI assistants to Blender, the free and open-source 3D creation suite, allowing AI models to execute Python commands against Blender's API.

features

Key Features of blender-mcp

blender-mcp provides a robust set of features designed to enhance 3D modeling workflows within Blender through AI-driven natural language commands. These capabilities streamline various aspects of 3D creation, from object manipulation to asset integration and code execution.

  • Natural Language Control: Direct manipulation of Blender 3D scenes and objects using plain English prompts.
  • Multi-AI Support: Compatibility with a wide range of LLMs, including Claude, ChatGPT, Gemini, Cursor, and local models via Ollama.
  • Material & Lighting Setup: AI-driven creation of node setups, material assignments, and lighting configurations.
  • Poly Haven Assets Integration: Access and utilization of assets from Poly Haven directly through AI commands.
  • AI 3D Generation: Integration with services like Hyper3D Rodin and Hunyuan3D for generating 3D models.
  • Python Code Execution: Ability for AI to execute arbitrary Python code within Blender for advanced control and automation.
  • Function Calling: Utilizes an open standard for function calling, enabling precise AI interaction with Blender's API.
  • Multimodality: Supports both text and vision inputs, allowing AI to interpret viewport screenshots for scene context.
  • Sketchfab Integration: Enhanced capability to search and download Sketchfab models via AI commands.
  • Remote Host Support: Functionality to run Blender MCP on a remote host for flexible deployment.

use cases

Who Should Use blender-mcp?

blender-mcp is primarily designed for 3D artists, game developers, designers, and developers who utilize Blender 3D and seek to integrate AI for enhanced productivity and automation. Its capabilities cater to a range of specialized applications within the 3D creation pipeline.

  • 3D Artists: For creating, modifying, and deleting 3D objects using natural language prompts, applying materials, and setting up lighting.
  • Game Developers: For rapid prototyping, game asset creation, and automating repetitive 3D modeling tasks.
  • Designers: For generating 3D models through integrated AI tools like Hyper3D Rodin and Hunyuan3D, and for scene assembly.
  • Developers: For executing arbitrary Python code in Blender via AI for advanced control and learning Blender's Python API.
  • Architects: For creating hard-surface and architectural shapes with clear geometric logic using primitives and modifiers.

how to use

How to Use blender-mcp

To begin using blender-mcp, users typically install the plugin within Blender 3.6 or newer and configure their preferred AI model. The interaction then occurs through natural language prompts, which the AI translates into Blender operations.

  • 1Install the blender-mcp plugin into a compatible Blender version (3.6 or newer).
  • 2Configure the desired large language model (e.g., Claude, ChatGPT, Gemini, Ollama) within the plugin settings.
  • 3Open a Blender project or start a new scene.
  • 4Input natural language commands into the AI interface to control Blender, such as 'Create a cube at the origin' or 'Apply a red material to the selected object'.
  • 5Observe the AI executing Python commands against Blender's API to perform the requested actions.
  • 6Utilize integrations like Poly Haven or Sketchfab by prompting the AI to search for and import assets.

pricing

blender-mcp Pricing & Plans

blender-mcp operates on a freemium model, with its core being open-source. The plugin itself is available without direct cost, but users are responsible for the costs associated with the AI models they choose to integrate, which can vary significantly.

  • Freemium: The blender-mcp plugin is open-source and free to download and use. Costs are incurred through the usage of integrated third-party AI models (e.g., API calls for Claude, ChatGPT, Gemini).

Pros

  • +Supports a wide range of AI models, including Claude, ChatGPT, Gemini, Cursor, and local Ollama models.
  • +Enables natural language control over Blender 3D, streamlining scene creation and object manipulation.
  • +Integrates with 3D asset libraries (Poly Haven, Sketchfab) and 3D generators (Hyper3D Rodin, Hunyuan3D).
  • +Allows AI to execute arbitrary Python code, providing advanced automation capabilities within Blender.
  • +Open-source core fosters community contributions and transparency.
  • +Provides a valuable tool for learning Blender's Python API by observing AI-generated commands.

Cons

  • −Struggles with organic modeling, characters, or sculptural forms, often producing stretched primitives.
  • −Can incur significant costs due to token consumption from powerful AI models like Claude.
  • −May exhibit precision issues with complex spatial positioning and intricate node graphs.
  • −Animation control is consistently cited as a weak point by users.
  • −AI models can hit context window limits in complex scenes, leading to incomplete or erroneous results.
  • −Requires Blender 3.6 or newer, limiting compatibility with older Blender versions.

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GitHubgithub.com/ahujasid/blender-mcp