blender-mcp MCP Server
zorak1103/blender-mcp
A MCP server that lets LLMs such as Claude control Blender — creating scenes, manipulating objects, assigning materials, configuring shader nodes, applying modifiers, setting keyframes, and rendering.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
zorak1103/blender-mcp is a Python MCP server licensed under GPL-3.0. A MCP server that lets LLMs such as Claude control Blender — creating scenes, manipulating objects, assigning materials, configuring shader nodes, applying modifiers, setting keyframes, and rendering. Topics: ai, blender, claude, cline, llm, mcp, opencode.
Ranked #3 out of 116 indexed tools.
In the top 3% of all indexed tools.
Actively maintained with commits in the last week.
Ecosystem
Score Breakdown
1 stars → early stage
Last commit 1d ago → actively maintained
No issues filed → no history to score
1 contributor → solo project
No dependents → no downstream usage
47,031 weekly installs → widely installed
Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →
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From the README
# blender-mcp
A [Model Context Protocol](https://modelcontextprotocol.io/) server that lets LLMs such as Claude control Blender — creating scenes, manipulating objects, assigning materials, configuring shader nodes, applying modifiers, setting keyframes, and rendering.
```
┌──── HTTP (recommended) ────────────────┐
Claude Code ──────┤ ├──> Blender (GUI)
/ any client └──stdio──> launcher.py ──HTTP ───────────┘ └─ MCP Server on localhost:8400
```
Blender must be running with the add-on enabled. The add-on exposes a Streamable HTTP MCP endpoint at `http://localhost:8400/mcp` — any MCP client that supports HTTP transport can connect directly. For clients that only support stdio transport, `launcher.py` acts as a thin stdio-to-HTTP proxy.
---
## Prerequisites
| Requirement | Notes |
|---|---|
| Blender 4.0 or newer | Must run in GUI mode (not headless) |
| Python 3.11+ (system) | Only needed for `launcher.py` (stdio fa Read full README on GitHub → Get the weekly AgentRank digest
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