blender-mcp-ultra

The most complete MCP server for Blender — control Blender with natural language from any AI agent: Claude Code, Claude Desktop, Cursor, opencode, Windsurf, Antigravity, LM Studio, Ollama and any Model Context Protocol (MCP) client.

239 tools · Windows / macOS / Linux · headless-ready · production-grade security

Scene above: 100% created and rendered by an AI agent through this MCP server — no manual modeling.

Gallery — what agents build with it

PBR materials	Geometry Nodes	Physics
material_pbr + 3-point lighting	geonodes scatter + noise terrain	rigid body + baked simulation

Every image above was generated end-to-end through MCP tools — scene setup, materials, lighting, camera framing, simulation and final Cycles render.

What is it?

blender-mcp-ultra connects Blender (the free open-source 3D suite) to LLM agents through the Model Context Protocol. Ask your AI assistant to model, texture, light, animate, simulate and render 3D scenes — it executes through 248 typed tools instead of fragile screenshot-guessing.

You:     "Create a wooden table with a coffee mug on it and render it in Cycles"
Claude:  → object.create, mesh ops, material PBR wood, light.three_point,
          camera.set_framing, render.render → escena.png

Highlights

• 🧰 248 MCP tools (7 base + 241 registry, incl. built-in workflow guidance) — modeling, materials, shader nodes, geometry nodes, lighting, cameras, animation, physics, compositor, UV, rigging, 3D printing, export (FBX/OBJ/glTF/STL), batch, VLM visual feedback, multi-agent collab, scene planner
• 🖥️ Any MCP client — stdio (Claude Code/Desktop, Cursor, opencode, VS Code, Windsurf), SSE/HTTP (Antigravity, remote), REST
• 🧠 VLM feedback loop — the agent sees its renders (EEVEE headless capture) and iterates
• 🔒 Security-first — AST code blocklist validated in gateway and addon, mandatory auth token (auto-generated), localhost-only binding, rate limiting, 0 secrets in history (gitleaks)
• 🤖 Multi-provider — OpenAI, Anthropic, Google, DeepSeek, Ollama (local)
• 📦 Asset integrations — PolyHaven, Sketchfab, AmbientCG, Hyper3D
• 🚀 Headless CI — real E2E tests against Blender in GitHub Actions (Linux + Windows + macOS)
• 🧪 479 tests passed · ruff · bandit · pip-audit clean

Quick Start

1. Install the Blender addon

Download blender_mcp_ultra.zip → Blender → Edit > Preferences > Add-ons > Install… → enable blender-mcp-ultra → click Connect in the N-panel.

Or install from this repo (Blender 4.2+/5.x):

git clone https://github.com/carlosh7/blender-mcp.git
cd blender-mcp
pip install -e .

2. Connect your AI client

Install the gateway (provides the blender-mcp-server command). Startup order doesn't matter: all tools register even if Blender is closed and work as soon as you open it.

pip install blender-mcp-ultra

claude mcp add blender -- blender-mcp-server
# o, desde un checkout del repo:
claude mcp add blender -- python /ruta/a/blender-mcp/mcp_server.py

{
  "mcpServers": {
    "blender": {
      "command": "blender-mcp-server"
    }
  }
}

python mcp_server.py            # el addon auto-escribe ~/.config/opencode/mcp.json

python mcp_server.py --sse      # SSE en :9879 (MCP_SSE_HOST para exponer)
# REST local: http://localhost:9877 (mismo token que el socket: ~/.config/blender-mcp/socket_token)
# Docker:
docker build -t blender-mcp-gateway . && docker run -p 9879:9879 blender-mcp-gateway

3. Ask your agent

"Modela una silla de madera con biselado y material PBR, ilumina en 3 puntos y renderiza"

Tools (248)

Full reference generated from the live registry: docs_scene tool · skills/recetas en docs/skills/.

Security

Run trusted agents only — executing Blender Python on the agent's behalf is the product.

Architecture

AI Agent (Claude/Cursor/…) ──MCP stdio/SSE──▶ mcp_server.py (gateway, 248 tools)
                                                  │ socket :9876 (localhost + token)
                                                  ▼
                                    Blender + addon blender-mcp-ultra
                                    (handlers, validators, PBR, physics…)

mcp_ultra/  # hexagonal: core / adapters / infrastructure / presentation / tools
addon/      # Blender addon: socket server, handlers, PBR factory, anti-blockout
docs/       # client guides, skills recipes, tutorials
tests/      # 479 tests (unit + integration + e2e headless)

Testing

pytest tests/unit -q          # sin Blender
pytest -q                     # completo (requiere Blender con el addon conectado)

CI ejecuta la suite completa contra Blender headless en cada push (Linux, Windows, macOS).

FAQ

Does it work with ChatGPT / Gemini? Any client that speaks MCP works. For providers without MCP support, the bundled REST API (:9877) accepts plain HTTP.

Does Blender need to be open? Yes for interactive work (it drives the real Blender). CI/headless render jobs run with blender -b — see docs/skills/headless_ci.md.

Is it safe? The agent can execute Blender Python — that's the product. Execution is sandboxed, validated by AST, rate-limited and bound to localhost with token auth. Run trusted agents only.

Blender versions? 4.2+ (LTS) and 5.x. Python 3.10+ for the gateway.

Contributing

PRs welcome — read CONTRIBUTING.md. Docs: GUIDE.md · ARCHITECTURE.md · CHANGELOG.md

License

MIT — see LICENSE.