Grok2Blender
Natural language control system for Blender 4.2+, enabling AI agents to perform actions like creating lighting setups and exporting scenes with vision feedback and GRS handoff.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Grok2BlenderCreate a dramatic three-point lighting setup on a cube"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Grok2Blender
Natural language control system for Blender 4.2+ with vision feedback and Grok Resolve Studio (GRS) handoff.
Repository: https://github.com/VisionaryPOV/Grok2Blender
Quick Start (Mac)
cd /Users/nesta/Grok2Blender
./scripts/install.shBlender → Preferences → Add-ons → Install
dist/grok2blender.zip→ EnableView3D sidebar → Grok2Blender → Start Server (port 9876)
Register MCP:
./scripts/register-mcp.shVerify:
grok mcp doctor grok2blender
Related MCP server: Blender MCP Server
First Test
In Grok Build:
Create a dramatic three-point lighting setup on a product cube and show me the viewport.
Architecture
Grok Build → FastMCP (stdio) → TCP JSON (:9876) → Blender Addon (bpy)See docs/ARCHITECTURE.md for details.
Documentation
USAGE.md — 30+ prompt examples
SAFETY.md — Safe mode, undo, recovery
GRS_INTEGRATION.md — Resolve handoff
TROUBLESHOOTING.md — Common issues
GRS Handoff
Exports to ~/Movies/Grok2Blender/<project>/ with full GRS payload.
# In Grok: "Prepare GRS handoff for shot Hero_Previz_001"
# Then in Resolve: Grok Resolve Studio → Import Campaign FolderDevelopment
uv sync --dev
uv run pytest -v
./scripts/smoke_test.shRequirements
macOS (v1)
Blender 4.2+ with GUI (vision requires viewport)
Python 3.11+
This server cannot be installed
Maintenance
Resources
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If you are the server author, to access and configure the admin panel.
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