Connects Blender to AI assistants through the Model Context Protocol, enabling direct AI control of 3D modeling, scene creation, and manipulation via natural language.
Connects Blender to Claude AI through MCP, allowing Claude to directly interact with and control Blender for 3D modeling, scene creation, and manipulation.
Connects Blender to AI through the Model Context Protocol to enable prompt-assisted 3D modeling and scene manipulation. It supports object creation, material control, and arbitrary Python code execution directly within the Blender environment.
Connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender for AI-assisted 3D modeling, scene manipulation, and rendering.
Enables connecting Blender 3D to AI assistants via MCP, allowing prompt-driven 3D modeling, scene editing, and real-time manipulation. Supports object/material control, scene inspection, viewport screenshots, and integrations with Poly Haven, Sketchfab, and AI model generators.
Connects Blender 3D to Claude AI through the Model Context Protocol, enabling prompt-driven 3D modeling, scene creation, and real-time object manipulation.
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.
Enables Claude AI to directly control Blender for automated 3D modeling, scene creation, and object manipulation. It provides tools for material management, scene inspection, and integration with third-party asset libraries like Poly Haven and Sketchfab.
Multi-protocol IPC adapter layer for integrating DCC software (Maya, Houdini, Blender, Unreal, Unity) with MCP, enabling tool registration and remote control across multiple transport protocols.
Enables LLMs to connect to n8n workflows, Blender 3D, Notion, and filesystem tools through a single MCP hub with hot-pluggable bridges. Features a pedagogical transparency layer for educational purposes and supports multiple LLM providers including Claude, OpenAI, Gemini, and Ollama.