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search_sketchfab_models

Find downloadable 3D models on Sketchfab for use in Blender projects. Filter results by categories and customize the number of models returned.

Instructions

Search for models on Sketchfab with optional filtering. Parameters: - query: Text to search for - categories: Optional comma-separated list of categories - count: Maximum number of results to return (default 20) - downloadable: Whether to include only downloadable models (default True) Returns a formatted list of matching models.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
categoriesNo
countNo
downloadableNo

Implementation Reference

  • The main handler function for the 'search_sketchfab_models' MCP tool. It connects to the Blender addon, sends the search parameters via socket command, receives the results, and formats them into a readable string output listing matching models with details like name, author, license, face count, and downloadability.
    @mcp.tool() def search_sketchfab_models( ctx: Context, query: str, categories: str = None, count: int = 20, downloadable: bool = True ) -> str: """ Search for models on Sketchfab with optional filtering. Parameters: - query: Text to search for - categories: Optional comma-separated list of categories - count: Maximum number of results to return (default 20) - downloadable: Whether to include only downloadable models (default True) Returns a formatted list of matching models. """ try: blender = get_blender_connection() logger.info(f"Searching Sketchfab models with query: {query}, categories: {categories}, count: {count}, downloadable: {downloadable}") result = blender.send_command("search_sketchfab_models", { "query": query, "categories": categories, "count": count, "downloadable": downloadable }) if "error" in result: logger.error(f"Error from Sketchfab search: {result['error']}") return f"Error: {result['error']}" # Safely get results with fallbacks for None if result is None: logger.error("Received None result from Sketchfab search") return "Error: Received no response from Sketchfab search" # Format the results models = result.get("results", []) or [] if not models: return f"No models found matching '{query}'" formatted_output = f"Found {len(models)} models matching '{query}':\n\n" for model in models: if model is None: continue model_name = model.get("name", "Unnamed model") model_uid = model.get("uid", "Unknown ID") formatted_output += f"- {model_name} (UID: {model_uid})\n" # Get user info with safety checks user = model.get("user") or {} username = user.get("username", "Unknown author") if isinstance(user, dict) else "Unknown author" formatted_output += f" Author: {username}\n" # Get license info with safety checks license_data = model.get("license") or {} license_label = license_data.get("label", "Unknown") if isinstance(license_data, dict) else "Unknown" formatted_output += f" License: {license_label}\n" # Add face count and downloadable status face_count = model.get("faceCount", "Unknown") is_downloadable = "Yes" if model.get("isDownloadable") else "No" formatted_output += f" Face count: {face_count}\n" formatted_output += f" Downloadable: {is_downloadable}\n\n" return formatted_output except Exception as e: logger.error(f"Error searching Sketchfab models: {str(e)}") import traceback logger.error(traceback.format_exc()) return f"Error searching Sketchfab models: {str(e)}"
  • The @mcp.tool() decorator registers the search_sketchfab_models function as an MCP tool.
    @mcp.tool()
  • Docstring defining the input parameters and return type for the tool, serving as the schema.
    """ Search for models on Sketchfab with optional filtering. Parameters: - query: Text to search for - categories: Optional comma-separated list of categories - count: Maximum number of results to return (default 20) - downloadable: Whether to include only downloadable models (default True) Returns a formatted list of matching models. """
  • MCP prompt providing usage strategy that recommends using search_sketchfab_models for finding Sketchfab models.
    @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. Sketchfab Sketchfab is good at Realistic models, and has a wider variety of models than PolyHaven. Use get_sketchfab_status() to verify its status If Sketchfab is enabled: - For objects/models: First search using search_sketchfab_models() with your query - Then download specific models using download_sketchfab_model() with the UID - Note that only downloadable models can be accessed, and API key must be properly configured - Sketchfab has a wider variety of models than PolyHaven, especially for specific subjects 3. 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 Hyper3D 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. 3. 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. 4. Recommended asset source priority: - For specific existing objects: First try Sketchfab, then PolyHaven - For generic objects/furniture: First try PolyHaven, then Sketchfab - For custom or unique items not available in libraries: Use Hyper3D Rodin - For environment lighting: Use PolyHaven HDRIs - For materials/textures: Use PolyHaven textures Only fall back to scripting when: - PolyHaven, Sketchfab, and Hyper3D are all disabled - A simple primitive is explicitly requested - No suitable asset exists in any of the libraries - Hyper3D Rodin failed to generate the desired asset - The task specifically requires a basic material/color """

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