An MCP server that enables AI models to directly control Blender for 3D modeling, scene manipulation, and material management through natural language. It supports advanced workflows including Python code execution, viewport visualization, and integration with external asset libraries like Poly Haven and Hyper3D.
An MCP server that enables AI assistants to directly control QGIS for tasks like layer management, feature editing, and map rendering. It provides a suite of 50 tools to execute processing algorithms and manage GIS projects through natural language commands.
MCP server for Meshwright, enabling agents to create 3D models from text prompts via a LangGraph pipeline. Supports configurable image providers, background removal, and TRELLIS reconstruction backends.
An MCP server with real AI capabilities (OpenAI/Anthropic) for natural language understanding, multi-step planning, and autonomous task execution, enabling intelligent file analysis, weather-based planning, and more.
World's first MCP server for point cloud (LAS/LAZ) data, enabling natural language commands to compute earthwork volumes, generate heatmaps, and produce PDF reports.
An MCP server that enables AI agents to control Blender through natural language for 3D scene creation, animation, and rendering. It provides over 550 actions and direct Python execution via a bridge to a live local Blender session.