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Blender MCP Setup Guides — Every Platform, Step by Step

Blender MCP connects AI to Blender 3D  through the Model Context Protocol. Choose your AI client below and follow the step-by-step guide to get started. Every guide covers prerequisites, installation, configuration, troubleshooting, and example prompts.

All guides require:

Choose Your AI Client

GuideAI ClientDifficultyCost
Claude SetupClaude Desktop / Claude CodeEasyFree tier available
Cursor SetupCursor IDEEasyFree tier available
VSCode SetupVSCode + Cline / Roo CodeMediumFree
ChatGPT SetupChatGPT DesktopMediumChatGPT Plus recommended
Gemini SetupGoogle Gemini CLIMediumFree tier available
Ollama SetupLocal AI (Ollama)AdvancedCompletely free

Claude is the recommended starting point — Blender MCP was designed for Claude, and it has the most mature integration. If you’re using Cursor for coding, the Cursor guide is your best bet.

Completely Free

Want to run everything locally with zero API costs? Follow the Ollama guide to run Blender MCP with a local AI model.

How It Works

Every setup follows the same three-step pattern:

  1. Install the MCP server — The blender-mcp package (runs via uvx)
  2. Install the Blender addonaddon.py creates a socket server inside Blender
  3. Connect — Your AI client talks to the MCP server, which talks to Blender

For a technical deep dive into the architecture, see our MCP Server guide.

Get Started with Blender MCP

Blender MCP is free, open-source, and community-driven. Star the repo, report issues, or contribute — all on GitHub.

View on GitHub →
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