Grok2Blender
Enables natural language control of Blender 4.2+ with vision feedback, allowing users to create and manipulate 3D scenes through Grok AI, and supports handoff to Resolve via GRS.
README
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.sh
- Blender → Preferences → Add-ons → Install
dist/grok2blender.zip→ Enable - View3D sidebar → Grok2Blender → Start Server (port 9876)
- Register MCP:
./scripts/register-mcp.sh - Verify:
grok mcp doctor grok2blender
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 Folder
Development
uv sync --dev
uv run pytest -v
./scripts/smoke_test.sh
Requirements
- macOS (v1)
- Blender 4.2+ with GUI (vision requires viewport)
- Python 3.11+
- uv
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.