BlenderMCP

Instructions

Implementation Reference

• src/blender_mcp/server.py:563-617 (handler)

  The core handler function for the 'generate_hyper3d_model_via_images' tool. It validates input images (paths or URLs), encodes local images to base64, normalizes the bbox_condition, and submits a job to Blender's Hyper3D Rodin integration via 'create_rodin_job' command. Returns task details on success or error info.
  @mcp.tool() def generate_hyper3d_model_via_images( ctx: Context, input_image_paths: list[str]=None, input_image_urls: list[str]=None, bbox_condition: list[float]=None ) -> str: """ Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender. The 3D asset has built-in materials. The generated model has a normalized size, so re-scaling after generation can be useful. Parameters: - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode. - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode. - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model. Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode. Returns a message indicating success or failure. """ if input_image_paths is not None and input_image_urls is not None: return f"Error: Conflict parameters given!" if input_image_paths is None and input_image_urls is None: return f"Error: No image given!" if input_image_paths is not None: if not all(os.path.exists(i) for i in input_image_paths): return "Error: not all image paths are valid!" images = [] for path in input_image_paths: with open(path, "rb") as f: images.append( (Path(path).suffix, base64.b64encode(f.read()).decode("ascii")) ) elif input_image_urls is not None: if not all(urlparse(i) for i in input_image_paths): return "Error: not all image URLs are valid!" images = input_image_urls.copy() try: blender = get_blender_connection() result = blender.send_command("create_rodin_job", { "text_prompt": None, "images": images, "bbox_condition": _process_bbox(bbox_condition), }) succeed = result.get("submit_time", False) if succeed: return json.dumps({ "task_uuid": result["uuid"], "subscription_key": result["jobs"]["subscription_key"], }) else: return json.dumps(result) except Exception as e: logger.error(f"Error generating Hyper3D task: {str(e)}") return f"Error generating Hyper3D task: {str(e)}"
• src/blender_mcp/server.py:518-525 (helper)

  Supporting helper function used by the tool to normalize and scale the bbox_condition parameter to a list of integers between 0 and 100 based on the maximum value.
  def _process_bbox(original_bbox: list[float] | list[int] | None) -> list[int] | None: if original_bbox is None: return None if all(isinstance(i, int) for i in original_bbox): return original_bbox if any(i<=0 for i in original_bbox): raise ValueError("Incorrect number range: bbox must be bigger than zero!") return [int(float(i) / max(original_bbox) * 100) for i in original_bbox] if original_bbox else None
• src/blender_mcp/server.py:498-516 (helper)

  Related helper tool to check the status of Hyper3D Rodin integration in Blender, which is prerequisite for using the generate_hyper3d_model_via_images tool.
  @mcp.tool() def get_hyper3d_status(ctx: Context) -> str: """ Check if Hyper3D Rodin integration is enabled in Blender. Returns a message indicating whether Hyper3D Rodin features are available. Don't emphasize the key type in the returned message, but sliently remember it. """ try: blender = get_blender_connection() result = blender.send_command("get_hyper3d_status") enabled = result.get("enabled", False) message = result.get("message", "") if enabled: message += "" return message except Exception as e: logger.error(f"Error checking Hyper3D status: {str(e)}") return f"Error checking Hyper3D status: {str(e)}"