BlenderMCP

# blender_mcp_server.py from mcp.server.fastmcp import FastMCP, Context, Image import socket import json import asyncio import logging from dataclasses import dataclass from contextlib import asynccontextmanager from typing import AsyncIterator, Dict, Any, List import os from pathlib import Path import base64 from urllib.parse import urlparse # Configure logging logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s') logger = logging.getLogger("BlenderMCPServer") @dataclass class BlenderConnection: host: str port: int sock: socket.socket = None # Changed from 'socket' to 'sock' to avoid naming conflict def connect(self) -> bool: """Connect to the Blender addon socket server""" if self.sock: return True try: self.sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM) self.sock.connect((self.host, self.port)) logger.info(f"Connected to Blender at {self.host}:{self.port}") return True except Exception as e: logger.error(f"Failed to connect to Blender: {str(e)}") self.sock = None return False def disconnect(self): """Disconnect from the Blender addon""" if self.sock: try: self.sock.close() except Exception as e: logger.error(f"Error disconnecting from Blender: {str(e)}") finally: self.sock = None def receive_full_response(self, sock, buffer_size=8192): """Receive the complete response, potentially in multiple chunks""" chunks = [] # Use a consistent timeout value that matches the addon's timeout sock.settimeout(15.0) # Match the addon's timeout try: while True: try: chunk = sock.recv(buffer_size) if not chunk: # If we get an empty chunk, the connection might be closed if not chunks: # If we haven't received anything yet, this is an error raise Exception("Connection closed before receiving any data") break chunks.append(chunk) # Check if we've received a complete JSON object try: data = b''.join(chunks) json.loads(data.decode('utf-8')) # If we get here, it parsed successfully logger.info(f"Received complete response ({len(data)} bytes)") return data except json.JSONDecodeError: # Incomplete JSON, continue receiving continue except socket.timeout: # If we hit a timeout during receiving, break the loop and try to use what we have logger.warning("Socket timeout during chunked receive") break except (ConnectionError, BrokenPipeError, ConnectionResetError) as e: logger.error(f"Socket connection error during receive: {str(e)}") raise # Re-raise to be handled by the caller except socket.timeout: logger.warning("Socket timeout during chunked receive") except Exception as e: logger.error(f"Error during receive: {str(e)}") raise # If we get here, we either timed out or broke out of the loop # Try to use what we have if chunks: data = b''.join(chunks) logger.info(f"Returning data after receive completion ({len(data)} bytes)") try: # Try to parse what we have json.loads(data.decode('utf-8')) return data except json.JSONDecodeError: # If we can't parse it, it's incomplete raise Exception("Incomplete JSON response received") else: raise Exception("No data received") def send_command(self, command_type: str, params: Dict[str, Any] = None) -> Dict[str, Any]: """Send a command to Blender and return the response""" if not self.sock and not self.connect(): raise ConnectionError("Not connected to Blender") command = { "type": command_type, "params": params or {} } try: # Log the command being sent logger.info(f"Sending command: {command_type} with params: {params}") # Send the command self.sock.sendall(json.dumps(command).encode('utf-8')) logger.info(f"Command sent, waiting for response...") # Set a timeout for receiving - use the same timeout as in receive_full_response self.sock.settimeout(15.0) # Match the addon's timeout # Receive the response using the improved receive_full_response method response_data = self.receive_full_response(self.sock) logger.info(f"Received {len(response_data)} bytes of data") response = json.loads(response_data.decode('utf-8')) logger.info(f"Response parsed, status: {response.get('status', 'unknown')}") if response.get("status") == "error": logger.error(f"Blender error: {response.get('message')}") raise Exception(response.get("message", "Unknown error from Blender")) return response.get("result", {}) except socket.timeout: logger.error("Socket timeout while waiting for response from Blender") # Don't try to reconnect here - let the get_blender_connection handle reconnection # Just invalidate the current socket so it will be recreated next time self.sock = None raise Exception("Timeout waiting for Blender response - try simplifying your request") except (ConnectionError, BrokenPipeError, ConnectionResetError) as e: logger.error(f"Socket connection error: {str(e)}") self.sock = None raise Exception(f"Connection to Blender lost: {str(e)}") except json.JSONDecodeError as e: logger.error(f"Invalid JSON response from Blender: {str(e)}") # Try to log what was received if 'response_data' in locals() and response_data: logger.error(f"Raw response (first 200 bytes): {response_data[:200]}") raise Exception(f"Invalid response from Blender: {str(e)}") except Exception as e: logger.error(f"Error communicating with Blender: {str(e)}") # Don't try to reconnect here - let the get_blender_connection handle reconnection self.sock = None raise Exception(f"Communication error with Blender: {str(e)}") @asynccontextmanager async def server_lifespan(server: FastMCP) -> AsyncIterator[Dict[str, Any]]: """Manage server startup and shutdown lifecycle""" # We don't need to create a connection here since we're using the global connection # for resources and tools try: # Just log that we're starting up logger.info("BlenderMCP server starting up") # Try to connect to Blender on startup to verify it's available try: # This will initialize the global connection if needed blender = get_blender_connection() logger.info("Successfully connected to Blender on startup") except Exception as e: logger.warning(f"Could not connect to Blender on startup: {str(e)}") logger.warning("Make sure the Blender addon is running before using Blender resources or tools") # Return an empty context - we're using the global connection yield {} finally: # Clean up the global connection on shutdown global _blender_connection if _blender_connection: logger.info("Disconnecting from Blender on shutdown") _blender_connection.disconnect() _blender_connection = None logger.info("BlenderMCP server shut down") # Create the MCP server with lifespan support mcp = FastMCP( "BlenderMCP", description="Blender integration through the Model Context Protocol", lifespan=server_lifespan ) # Resource endpoints # Global connection for resources (since resources can't access context) _blender_connection = None _polyhaven_enabled = False # Add this global variable def get_blender_connection(): """Get or create a persistent Blender connection""" global _blender_connection, _polyhaven_enabled # Add _polyhaven_enabled to globals # If we have an existing connection, check if it's still valid if _blender_connection is not None: try: # First check if PolyHaven is enabled by sending a ping command result = _blender_connection.send_command("get_polyhaven_status") # Store the PolyHaven status globally _polyhaven_enabled = result.get("enabled", False) return _blender_connection except Exception as e: # Connection is dead, close it and create a new one logger.warning(f"Existing connection is no longer valid: {str(e)}") try: _blender_connection.disconnect() except: pass _blender_connection = None # Create a new connection if needed if _blender_connection is None: _blender_connection = BlenderConnection(host="localhost", port=9876) if not _blender_connection.connect(): logger.error("Failed to connect to Blender") _blender_connection = None raise Exception("Could not connect to Blender. Make sure the Blender addon is running.") logger.info("Created new persistent connection to Blender") return _blender_connection @mcp.tool() def get_scene_info(ctx: Context) -> str: """Get detailed information about the current Blender scene""" try: blender = get_blender_connection() result = blender.send_command("get_scene_info") # Just return the JSON representation of what Blender sent us return json.dumps(result, indent=2) except Exception as e: logger.error(f"Error getting scene info from Blender: {str(e)}") return f"Error getting scene info: {str(e)}" @mcp.tool() def get_object_info(ctx: Context, object_name: str) -> str: """ Get detailed information about a specific object in the Blender scene. Parameters: - object_name: The name of the object to get information about """ try: blender = get_blender_connection() result = blender.send_command("get_object_info", {"name": object_name}) # Just return the JSON representation of what Blender sent us return json.dumps(result, indent=2) except Exception as e: logger.error(f"Error getting object info from Blender: {str(e)}") return f"Error getting object info: {str(e)}" @mcp.tool() def create_object( ctx: Context, type: str = "CUBE", name: str = None, location: List[float] = None, rotation: List[float] = None, scale: List[float] = None, # Torus-specific parameters align: str = "WORLD", major_segments: int = 48, minor_segments: int = 12, mode: str = "MAJOR_MINOR", major_radius: float = 1.0, minor_radius: float = 0.25, abso_major_rad: float = 1.25, abso_minor_rad: float = 0.75, generate_uvs: bool = True ) -> str: """ Create a new object in the Blender scene. Parameters: - type: Object type (CUBE, SPHERE, CYLINDER, PLANE, CONE, TORUS, EMPTY, CAMERA, LIGHT) - name: Optional name for the object - location: Optional [x, y, z] location coordinates - rotation: Optional [x, y, z] rotation in radians - scale: Optional [x, y, z] scale factors (not used for TORUS) Torus-specific parameters (only used when type == "TORUS"): - align: How to align the torus ('WORLD', 'VIEW', or 'CURSOR') - major_segments: Number of segments for the main ring - minor_segments: Number of segments for the cross-section - mode: Dimension mode ('MAJOR_MINOR' or 'EXT_INT') - major_radius: Radius from the origin to the center of the cross sections - minor_radius: Radius of the torus' cross section - abso_major_rad: Total exterior radius of the torus - abso_minor_rad: Total interior radius of the torus - generate_uvs: Whether to generate a default UV map Returns: A message indicating the created object name. """ try: # Get the global connection blender = get_blender_connection() # Set default values for missing parameters loc = location or [0, 0, 0] rot = rotation or [0, 0, 0] sc = scale or [1, 1, 1] params = { "type": type, "location": loc, "rotation": rot, } if name: params["name"] = name if type == "TORUS": # For torus, the scale is not used. params.update({ "align": align, "major_segments": major_segments, "minor_segments": minor_segments, "mode": mode, "major_radius": major_radius, "minor_radius": minor_radius, "abso_major_rad": abso_major_rad, "abso_minor_rad": abso_minor_rad, "generate_uvs": generate_uvs }) result = blender.send_command("create_object", params) return f"Created {type} object: {result['name']}" else: # For non-torus objects, include scale params["scale"] = sc result = blender.send_command("create_object", params) return f"Created {type} object: {result['name']}" except Exception as e: logger.error(f"Error creating object: {str(e)}") return f"Error creating object: {str(e)}" @mcp.tool() def modify_object( ctx: Context, name: str, location: List[float] = None, rotation: List[float] = None, scale: List[float] = None, visible: bool = None ) -> str: """ Modify an existing object in the Blender scene. Parameters: - name: Name of the object to modify - location: Optional [x, y, z] location coordinates - rotation: Optional [x, y, z] rotation in radians - scale: Optional [x, y, z] scale factors - visible: Optional boolean to set visibility """ try: # Get the global connection blender = get_blender_connection() params = {"name": name} if location is not None: params["location"] = location if rotation is not None: params["rotation"] = rotation if scale is not None: params["scale"] = scale if visible is not None: params["visible"] = visible result = blender.send_command("modify_object", params) return f"Modified object: {result['name']}" except Exception as e: logger.error(f"Error modifying object: {str(e)}") return f"Error modifying object: {str(e)}" @mcp.tool() def delete_object(ctx: Context, name: str) -> str: """ Delete an object from the Blender scene. Parameters: - name: Name of the object to delete """ try: # Get the global connection blender = get_blender_connection() result = blender.send_command("delete_object", {"name": name}) return f"Deleted object: {name}" except Exception as e: logger.error(f"Error deleting object: {str(e)}") return f"Error deleting object: {str(e)}" @mcp.tool() def set_material( ctx: Context, object_name: str, material_name: str = None, color: List[float] = None ) -> str: """ Set or create a material for an object. Parameters: - object_name: Name of the object to apply the material to - material_name: Optional name of the material to use or create - color: Optional [R, G, B] color values (0.0-1.0) """ try: # Get the global connection blender = get_blender_connection() params = {"object_name": object_name} if material_name: params["material_name"] = material_name if color: params["color"] = color result = blender.send_command("set_material", params) return f"Applied material to {object_name}: {result.get('material_name', 'unknown')}" except Exception as e: logger.error(f"Error setting material: {str(e)}") return f"Error setting material: {str(e)}" @mcp.tool() def execute_blender_code(ctx: Context, code: str) -> str: """ Execute arbitrary Python code in Blender. Parameters: - code: The Python code to execute """ try: # Get the global connection blender = get_blender_connection() result = blender.send_command("execute_code", {"code": code}) return f"Code executed successfully: {result.get('result', '')}" except Exception as e: logger.error(f"Error executing code: {str(e)}") return f"Error executing code: {str(e)}" @mcp.tool() def get_polyhaven_categories(ctx: Context, asset_type: str = "hdris") -> str: """ Get a list of categories for a specific asset type on Polyhaven. Parameters: - asset_type: The type of asset to get categories for (hdris, textures, models, all) """ try: blender = get_blender_connection() if not _polyhaven_enabled: return "PolyHaven integration is disabled. Select it in the sidebar in BlenderMCP, then run it again." result = blender.send_command("get_polyhaven_categories", {"asset_type": asset_type}) if "error" in result: return f"Error: {result['error']}" # Format the categories in a more readable way categories = result["categories"] formatted_output = f"Categories for {asset_type}:\n\n" # Sort categories by count (descending) sorted_categories = sorted(categories.items(), key=lambda x: x[1], reverse=True) for category, count in sorted_categories: formatted_output += f"- {category}: {count} assets\n" return formatted_output except Exception as e: logger.error(f"Error getting Polyhaven categories: {str(e)}") return f"Error getting Polyhaven categories: {str(e)}" @mcp.tool() def search_polyhaven_assets( ctx: Context, asset_type: str = "all", categories: str = None ) -> str: """ Search for assets on Polyhaven with optional filtering. Parameters: - asset_type: Type of assets to search for (hdris, textures, models, all) - categories: Optional comma-separated list of categories to filter by Returns a list of matching assets with basic information. """ try: blender = get_blender_connection() result = blender.send_command("search_polyhaven_assets", { "asset_type": asset_type, "categories": categories }) if "error" in result: return f"Error: {result['error']}" # Format the assets in a more readable way assets = result["assets"] total_count = result["total_count"] returned_count = result["returned_count"] formatted_output = f"Found {total_count} assets" if categories: formatted_output += f" in categories: {categories}" formatted_output += f"\nShowing {returned_count} assets:\n\n" # Sort assets by download count (popularity) sorted_assets = sorted(assets.items(), key=lambda x: x[1].get("download_count", 0), reverse=True) for asset_id, asset_data in sorted_assets: formatted_output += f"- {asset_data.get('name', asset_id)} (ID: {asset_id})\n" formatted_output += f" Type: {['HDRI', 'Texture', 'Model'][asset_data.get('type', 0)]}\n" formatted_output += f" Categories: {', '.join(asset_data.get('categories', []))}\n" formatted_output += f" Downloads: {asset_data.get('download_count', 'Unknown')}\n\n" return formatted_output except Exception as e: logger.error(f"Error searching Polyhaven assets: {str(e)}") return f"Error searching Polyhaven assets: {str(e)}" @mcp.tool() def download_polyhaven_asset( ctx: Context, asset_id: str, asset_type: str, resolution: str = "1k", file_format: str = None ) -> str: """ Download and import a Polyhaven asset into Blender. Parameters: - asset_id: The ID of the asset to download - asset_type: The type of asset (hdris, textures, models) - resolution: The resolution to download (e.g., 1k, 2k, 4k) - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models) Returns a message indicating success or failure. """ try: blender = get_blender_connection() result = blender.send_command("download_polyhaven_asset", { "asset_id": asset_id, "asset_type": asset_type, "resolution": resolution, "file_format": file_format }) if "error" in result: return f"Error: {result['error']}" if result.get("success"): message = result.get("message", "Asset downloaded and imported successfully") # Add additional information based on asset type if asset_type == "hdris": return f"{message}. The HDRI has been set as the world environment." elif asset_type == "textures": material_name = result.get("material", "") maps = ", ".join(result.get("maps", [])) return f"{message}. Created material '{material_name}' with maps: {maps}." elif asset_type == "models": return f"{message}. The model has been imported into the current scene." else: return message else: return f"Failed to download asset: {result.get('message', 'Unknown error')}" except Exception as e: logger.error(f"Error downloading Polyhaven asset: {str(e)}") return f"Error downloading Polyhaven asset: {str(e)}" @mcp.tool() def set_texture( ctx: Context, object_name: str, texture_id: str ) -> str: """ Apply a previously downloaded Polyhaven texture to an object. Parameters: - object_name: Name of the object to apply the texture to - texture_id: ID of the Polyhaven texture to apply (must be downloaded first) Returns a message indicating success or failure. """ try: # Get the global connection blender = get_blender_connection() result = blender.send_command("set_texture", { "object_name": object_name, "texture_id": texture_id }) if "error" in result: return f"Error: {result['error']}" if result.get("success"): material_name = result.get("material", "") maps = ", ".join(result.get("maps", [])) # Add detailed material info material_info = result.get("material_info", {}) node_count = material_info.get("node_count", 0) has_nodes = material_info.get("has_nodes", False) texture_nodes = material_info.get("texture_nodes", []) output = f"Successfully applied texture '{texture_id}' to {object_name}.\n" output += f"Using material '{material_name}' with maps: {maps}.\n\n" output += f"Material has nodes: {has_nodes}\n" output += f"Total node count: {node_count}\n\n" if texture_nodes: output += "Texture nodes:\n" for node in texture_nodes: output += f"- {node['name']} using image: {node['image']}\n" if node['connections']: output += " Connections:\n" for conn in node['connections']: output += f" {conn}\n" else: output += "No texture nodes found in the material.\n" return output else: return f"Failed to apply texture: {result.get('message', 'Unknown error')}" except Exception as e: logger.error(f"Error applying texture: {str(e)}") return f"Error applying texture: {str(e)}" @mcp.tool() def get_polyhaven_status(ctx: Context) -> str: """ Check if PolyHaven integration is enabled in Blender. Returns a message indicating whether PolyHaven features are available. """ try: blender = get_blender_connection() result = blender.send_command("get_polyhaven_status") enabled = result.get("enabled", False) message = result.get("message", "") return message except Exception as e: logger.error(f"Error checking PolyHaven status: {str(e)}") return f"Error checking PolyHaven status: {str(e)}" @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)}" @mcp.tool() def generate_hyper3d_model_via_text( ctx: Context, text_prompt: str, bbox_condition: list[float]=None ) -> str: """ Generate 3D asset using Hyper3D by giving description of the desired asset, and import the 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: - text_prompt: A short description of the desired model in **English**. - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model. The final size of the model is normalized. Returns a message indicating success or failure. """ try: blender = get_blender_connection() result = blender.send_command("create_rodin_job", { "text_prompt": text_prompt, "images": None, "bbox_condition": 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)}" return f"Placeholder, under development, not implemented yet." @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. The final size of the model is normalized. 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": 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)}" @mcp.tool() def poll_rodin_job_status( ctx: Context, subscription_key: str=None, request_id: str=None, ): """ Check if the Hyper3D Rodin generation task is completed. For Hyper3D Rodin mode MAIN_SITE: Parameters: - subscription_key: The subscription_key given in the generate model step. Returns a list of status. The task is done if all status are "Done". If "Failed" showed up, the generating process failed. This is a polling API, so only proceed if the status are finally determined ("Done" or "Canceled"). For Hyper3D Rodin mode FAL_AI: Parameters: - request_id: The request_id given in the generate model step. Returns the generation task status. The task is done if status is "COMPLETED". The task is in progress if status is "IN_PROGRESS". If status other than "COMPLETED", "IN_PROGRESS", "IN_QUEUE" showed up, the generating process might be failed. This is a polling API, so only proceed if the status are finally determined ("COMPLETED" or some failed state). """ try: blender = get_blender_connection() kwargs = {} if subscription_key: kwargs = { "subscription_key": subscription_key, } elif request_id: kwargs = { "request_id": request_id, } result = blender.send_command("poll_rodin_job_status", kwargs) return result except Exception as e: logger.error(f"Error generating Hyper3D task: {str(e)}") return f"Error generating Hyper3D task: {str(e)}" @mcp.tool() def import_generated_asset( ctx: Context, name: str, task_uuid: str=None, request_id: str=None, ): """ Import the asset generated by Hyper3D Rodin after the generation task is completed. Parameters: - name: The name of the object in scene - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step. - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step. Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode! Return if the asset has been imported successfully. """ try: blender = get_blender_connection() kwargs = { "name": name } if task_uuid: kwargs["task_uuid"] = task_uuid elif request_id: kwargs["request_id"] = request_id result = blender.send_command("import_generated_asset", kwargs) return result except Exception as e: logger.error(f"Error generating Hyper3D task: {str(e)}") return f"Error generating Hyper3D task: {str(e)}" @mcp.prompt() def asset_creation_strategy() -> str: """Defines the preferred strategy for creating assets in Blender""" return """When creating 3D content in Blender, always start by checking if integrations are available: 0. Before anything, always check the scene from get_scene_info() 1. First use the following tools to verify if the following integrations are enabled: 1. PolyHaven Use get_polyhaven_status() to verify its status If PolyHaven is enabled: - For objects/models: Use download_polyhaven_asset() with asset_type="models" - For materials/textures: Use download_polyhaven_asset() with asset_type="textures" - For environment lighting: Use download_polyhaven_asset() with asset_type="hdris" 2. Hyper3D(Rodin) Hyper3D Rodin is good at generating 3D models for single item. So don't try to: 1. Generate the whole scene with one shot 2. Generate ground using Rodin 3. Generate parts of the items separately and put them together afterwards Use get_hyper3d_status() to verify its status If Hyper3D is enabled: - For objects/models, do the following steps: 1. Create the model generation task - Use generate_hyper3d_model_via_images() if image(s) is/are given - Use generate_hyper3d_model_via_text() if generating 3D asset using text prompt If key type is free_trial and insufficient balance error returned, tell the user that the free trial key can only generated limited models everyday, they can choose to: - Wait for another day and try again - Go to hyper3d.ai to find out how to get their own API key - Go to fal.ai to get their own private API key 2. Poll the status - Use poll_rodin_job_status() to check if the generation task has completed or failed 3. Import the asset - Use import_generated_asset() to import the generated GLB model the asset 4. After importing the asset, ALWAYS check the world_bounding_box of the imported mesh, and adjust the mesh's location and size Adjust the imported mesh's location, scale, rotation, so that the mesh is on the right spot. You can reuse assets previous generated by running python code to duplicate the object, without creating another generation task. 2. If all integrations are disabled or when falling back to basic tools: - create_object() for basic primitives (CUBE, SPHERE, CYLINDER, etc.) - set_material() for basic colors and materials 3. When including an object into scene, ALWAYS make sure that the name of the object is meanful. 4. Always check the world_bounding_box for each item so that: - Ensure that all objects that should not be clipping are not clipping. - Items have right spatial relationship. 5. After giving the tool location/scale/rotation information (via create_object() and modify_object()), double check the related object's location, scale, rotation, and world_bounding_box using get_object_info(), so that the object is in the desired location. Only fall back to basic creation tools when: - PolyHaven and Hyper3D are disabled - A simple primitive is explicitly requested - No suitable PolyHaven asset exists - Hyper3D Rodin failed to generate the desired asset - The task specifically requires a basic material/color """ # Main execution def main(): """Run the MCP server""" mcp.run() if __name__ == "__main__": main()