Skip to main content
Glama

search_sketchfab_models

Search Sketchfab for 3D models using queries and filters to find downloadable assets for Blender projects.

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

  • MCP tool handler for searching Sketchfab models. Connects to Blender, sends search command with parameters, handles errors, and formats the list of models with details like name, UID, 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)}"
  • Input schema and documentation for the search_sketchfab_models tool, defining parameters query (str), categories (str optional), count (int default 20), downloadable (bool default True), and output as formatted 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. """
  • Registration of the tool via the @mcp.tool() decorator.
    @mcp.tool()
  • Usage instruction in the asset_creation_strategy prompt recommending search_sketchfab_models for finding Sketchfab models.
    - For objects/models: First search using search_sketchfab_models() with your query - Then download specific models using download_sketchfab_model() with the UID

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/johncarlo177/Python.BlenderMCP'

If you have feedback or need assistance with the MCP directory API, please join our Discord server