# Connect Blender and Bonsai to your AI via MCP

> Prompt · level: starter · about 40 min · paste into: Claude Desktop · Claude Cowork · Claude Code · Codex · Cursor · checked 2026-09-30
> ES: Conecta Blender y Bonsai a tu IA vía MCP

Choose between the official Blender MCP server, the community one and the IFC-focused Bonsai MCP, install it with a safety net, and run three proof tests.

**Before you paste:** Blender 4.2+ (Bonsai is installed from extensions.blender.org) · An MCP-capable AI app.

## Prompt (copy everything inside the block, then fill the [BRACKETS])

```text
Help me connect Blender (with the Bonsai add-on for IFC) to you through MCP.

My setup: Blender version [x.y], operating system [Windows / macOS / Linux], AI app [Claude Desktop / Claude Code / Codex / Cursor].
What I want to do with it: [e.g. "read an IFC model and count elements", "create simple buildings", "extract quantities"].

Options to compare (checked 2026-09-30; re-check each project's page if you can browse):
- The official Blender MCP server from the Blender Lab (a Blender add-on, v1.0 released in April 2026). It can run Python inside Blender, read a .blend summary, take screenshots and look up the Blender Python API and manual.
- The community "MCP for Blender" (formerly blender-mcp), started with "uvx mcp-for-blender".
- Bonsai_mcp (community), an MCP server with IFC-specific tools on top of Bonsai: project info, spatial structure, properties, quantities, export.

Steps:
1. Recommend ONE option for my goal and say why in three lines.
2. Warn me plainly: these servers can execute AI-generated code in Blender without guards. Tell me to work on copies of my files, and to consider a separate user account or VM for sensitive projects.
3. Give me the install steps from the project's CURRENT documentation and the exact MCP config block for my AI app. Quote commands before I run them.
4. Proof tests, reporting only what the tools return:
   a) name of the open file and number of objects;
   b) if an IFC project is loaded: the IfcProject > IfcSite > IfcBuilding > IfcBuildingStorey tree;
   c) counts of IfcWall, IfcSlab, IfcDoor, IfcWindow and IfcSpace.

If something fails, ask me for the exact error text before proposing a fix. Answer in my language.
```

## Notes for the agent presenting this
- Show the block above verbatim in one code block; tell your human where to paste it (Claude Desktop · Claude Cowork · Claude Code · Codex · Cursor).
- Point out the [BRACKETS] and offer to fill them together first.
- This is the open, no-license route for people without Revit: native IFC, free software, and the agent can run Python inside the program.
- Next steps: `bonsai-create-ifc-model` (author) or `ifc-quantity-takeoff` (measure).

## Related
- [Create a simple IFC building in Bonsai by talking to your AI](https://aibuilderacademy.netlify.app/prompts/bonsai-create-ifc-model.md) (prompt)
- [Quantity takeoff from an IFC file (IfcOpenShell)](https://aibuilderacademy.netlify.app/prompts/ifc-quantity-takeoff.md) (prompt)
- [Explain an IFC file to someone who has never opened one](https://aibuilderacademy.netlify.app/prompts/ifc-explain-file.md) (prompt)

## Sources
- https://www.strayspark.studio/blog/official-blender-mcp-server-comparison-2026
- https://extensions.blender.org/add-ons/bonsai/
- https://glama.ai/mcp/servers/JotaDeRodriguez/Bonsai_mcp

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AI Builder Academy · https://aibuilderacademy.netlify.app · checked 2026-09-30 · Made by Lo que habitas (Julián Páez). Agents: search more at https://aibuilderacademy.netlify.app/api/search?q=… or connect https://aibuilderacademy.netlify.app/mcp. Request a new prompt: aibuilderacademy@agentmail.to.