{"repo":"HoldMyBeer-gg/blend-ai","free":true,"listed":false,"github":"https://github.com/HoldMyBeer-gg/blend-ai","clone":"git clone https://github.com/HoldMyBeer-gg/blend-ai.git","description":"An intuitive and efficient MCP Server for Blender.","language":"Python","stars":134,"topics":[],"license":"AGPL-3.0","category":"mcp-servers","readme_excerpt":"blend-ai The most intuitive and efficient MCP Server for Blender. Control Blender entirely through AI assistants like Claude — create 3D models, set up scenes, animate, render, and more, all through natural language. blend-ai goes beyond tool exposure: it guides the LLM to produce professional 3D results through expert prompts, proven workflows, visual feedback, and mesh quality analysis. This was created via Claude Code using the Haiku model and 20 random reference images. It took 5 minutes: Fifteen procedural materials, each built by a single create procedural material call. The selected ball's node graph below was generated entirely by that one call — coordinates, mapping, noise, height mask, colour ramp, and Principled BSDF, laid out and wired: Key Features - 164 tools across 24 modules covering every major Blender domain: modeling, mesh editing, materials, shader nodes, lighting, camera, animation, rendering, sculpting, UV mapping, physics, geometry nodes, rigging, curves, annotations, collections, file I/O, Bool Tool, viewport control, mesh quality analysis, and extension suggestions - 12 expert prompts — topology best practices, real-world scale references, lighting principles, studio setup, character basemesh workflow, PBR material guide, auto-critique feedback loop, and more - Visual feedback loop — fast viewport screenshots via OpenGL render ( ms, not seconds) with auto-critique prompts that guide the LLM to check its own work - Mesh quality analysis — structured re","default_branch":null,"files":null,"tree":[],"storefront":"/r/HoldMyBeer-gg","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/HoldMyBeer-gg/blend-ai/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}