MCP for Blender
Menu Asset Creation

Use Cases

AI-Driven 3D Asset Creation with MCP for Blender

Generate production-ready 3D assets in MCP for Blender using Hyper3D Rodin and Hunyuan3D from text prompts or reference images, then apply materials and export.

MCP for Blender connects two AI 3D generation services, Hyper3D Rodin and Hunyuan3D, directly into your Blender workflow. Describe the asset you need, and the AI generates it as a textured 3D model that is imported straight into your scene. This eliminates the need to model, unwrap, and texture assets from scratch.

What People Have Made

I asked Astra to make a photorealistic bat in Blender, and it just kept going until I ran out of tokens. This is AGI.@aollivier82just asked gpt-5.6 sol in cursor to set up blender mcp and make me a realistic floating macbook, then render the whole thing. never opened blender once in my life before today.@prasenxcomputer use is super cool in so many things but blender mcp seems better so far, these results are one shots@developedbyed

See everything people have made →

Text-to-3D Workflow with Hyper3D

The text-to-3D workflow follows three steps once your API key is configured:

  1. Describe the asset

    Tell Claude what you want. For example: "Generate a 3D model of a garden gnome."

  2. Claude calls the generation tool

    Claude uses the Hyper3D integration to send your prompt to the Rodin API. The service generates a textured mesh.

  3. Asset imports into Blender

    The generated model is downloaded and placed in your active Blender scene, ready for positioning and rendering.

Example prompt flow:

Generate a 3D model of a garden gnome

Claude handles the tool call, waits for generation, and imports the result.

Image-to-3D Workflow

You can also generate assets from reference images. Provide a local file path or remote URL, and Claude sends it to Hyper3D or Hunyuan3D for generation.

Example prompts:

Create a futuristic helmet from this reference image: https://example.com/helmet.jpg
Generate a stylised potion bottle from the attached image

The AI interprets the image and produces a 3D model with textures that match the visual style.

Combining Generated Assets with Library Assets

After generating a custom item, enhance it with library resources:

  • Apply Poly Haven textures to match the scene's material palette
  • Place the asset on Poly Haven surfaces (ground planes, floors)
  • Set Poly Haven HDRI lighting to integrate the asset naturally into the environment

Example prompt:

Generate a stylised treasure chest using Hyper3D, then place it on a wooden floor with warm studio lighting

Post-Generation Refinement

Always verify generated assets before finalizing your scene:

  1. Check the bounding box

    Use get_object_info to see dimensions. Generated assets may be larger or smaller than expected.

  2. Adjust position, scale, and rotation

    Ask Claude to center, scale, or rotate the asset to fit your scene.

  3. Apply or replace materials

    Use execute_blender_code for custom material tweaks, or apply Poly Haven PBR textures for consistency.

Example Prompts

Prompt Result
"Generate a 3D model of a garden gnome" Textured gnome imported into the scene
"Create a futuristic helmet from this reference image" Image-to-3D asset matching the reference
"Generate a stylised potion bottle and apply a glass material" Custom asset with custom material via code
"Make a sci-fi drone from text and place it on a concrete surface" Full asset + environment integration

Hyper3D and Hunyuan3D are best for single objects. For environment elements like ground, sky, and buildings, use Poly Haven or Poly Pizza instead. This keeps generation time short and scene assembly fast.

Next Steps