Blender AI MCP Addon — AI skill for Claude Code
AI assistant and MCP server for Blender: visual chat, scene tools, multi-agent workflows.
How to install Blender AI MCP Addon
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open anujasid/blender-ai-mcp-addon and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Blender AI MCP Addon does
AI assistant and MCP server for Blender: visual chat, scene tools, multi-agent workflows. Works with OpenAI, ChatGPT, Claude, Gemini, Ollama, OpenCode. Blender AI addon and plugin, copilot for 3D, bpy Python scripting, MCP integration.
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README
mcp-for-blender-pro
Your Blender scene. Your AI models. One creative workspace.
**An AI assistant for Blender that can inspect your scene, build objects, edit materials, find assets and carry out multi-step workflows—with a visual chat workspace and a built-in Model Context Protocol (MCP) server.**
   
[Download](../../releases/latest) · [Getting started](docs/QUICKSTART.md) · [Connections and agents](docs/CONNECTIONS.md)

Turn a creative brief into scene operations
Start with an idea. Ask the assistant to inspect your scene, create a product-display layout, arrange objects, assign materials or prepare an export. Follow its actions in the conversation and inspect the result in the viewport preview. Keep working in Blender throughout the process.
**mcp-for-blender-pro brings conversation, scene tools, model choice and agent workflows together.** It is designed for artists who want faster iteration, technical artists who automate repetitive work, and developers connecting AI tools to Blender.
Why choose mcp-for-blender-pro?
| Capability | What it gives you |
|---|---|
| Blender-aware assistance | Scene and object inspection gives the assistant context before it acts. |
| A visual Studio workspace | Chat, scene objects, viewport snapshots, approvals and a task board in a companion window. |
| Your choice of AI | Connect supported cloud providers, local Ollama models or compatible custom endpoints. |
| Saved connections | Keep work and personal connections separate, including multiple keys for the same provider. |
| One assistant or a team | Use a single model for quick |
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