Vibe3DScene

mcp
Guvenlik Denetimi
Gecti
Health Gecti
  • License — License: Apache-2.0
  • Description — Repository has a description
  • Active repo — Last push 0 days ago
  • Community trust — 43 GitHub stars
Code Gecti
  • Code scan — Scanned 12 files during light audit, no dangerous patterns found
Permissions Gecti
  • Permissions — No dangerous permissions requested
Purpose
This tool is a 3D scene agent that connects to Blender, allowing users to generate and manipulate 3D environments using natural language prompts via an MCP interface.

Security Assessment
Overall Risk: Low. The automated code scan inspected 12 files and found no dangerous patterns, hardcoded secrets, or requests for dangerous permissions. However, because the tool integrates with external systems, developers should be aware of its underlying architecture. It makes network requests to operate, specifically relying on a FastAPI backend and Redis for state management. Furthermore, it interfaces directly with external tool services and can execute local applications, notably launching Blender in headless mode or communicating with a local Blender client.

Quality Assessment
Quality is good. The project is licensed under the permissive Apache-2.0 license and is actively maintained, with its most recent code push occurring today. It has garnered 43 GitHub stars, indicating a fair level of early community trust and interest. The repository is well-documented, featuring clear architecture maps and instructions for various deployment topologies, including Docker.

Verdict
Safe to use, though administrators should ensure proper network isolation due to its external API calls and Redis integration.
SUMMARY

Create your own 3D scene with words anywhere.

README.md

Vibe3DScene: Vibe Creating Your Own 3D Scene With Words Anywhere

Website License Docker Hub YouTube Demo Web Demo

Teaser

Table of Contents

1. Overview

Video Demo

Demo

Introduction

Vibe3DScene is a Blender-connected 3D scene agent built around a modular LangGraph runtime, MCP tools, and web/API/CLI interfaces.

  • From the workflow perspective, the project now uses a router-driven agentic runtime that can choose between direct_mode and plan_mode, manage todos explicitly, run in fast_mode when full verification is unnecessary, and optionally switch into an experimental dual-agent topology.
  • From the systems perspective, the backend can run Blender in headless mode behind an API or pair with a local Blender client. Redis-backed ownership, checkpointing, and persisted session state support single-worker and multi-worker deployments.
  • From the tooling perspective, the MCP layer unifies scene control, rendering, retrieval, reconstruction, and 3D generation tools, while external tool servers are decoupled into the sibling 3DAgentTools stack.

High-Level Runtime

flowchart LR
    U[Web UI / CLI / Blender client] --> API[FastAPI]
    API --> ROUTER[Request router and LangGraph runtime]
    ROUTER --> MCP[MCP tools]
    MCP --> BLENDER[Blender addon socket or headless session]
    MCP --> TOOLS[External tool services]
    BLENDER --> OUT[Scene / Render / Assets]
    TOOLS --> OUT

For the exact runtime graph and deployment topologies, see:

2. Quickstart

2.1 Prerequisites

  • Python 3.11+
  • Blender 3.6+
  • Node.js 18+ for the frontend
  • Redis for recommended persistence and multi-worker coordination
  • Docker if you want to run external tool services in containers

2.2 Install

git clone --recurse-submodules https://github.com/3DSceneAgent/Vibe3DScene
cd Vibe3DScene

python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt

cp .env.example .env
# fill in provider keys and runtime configuration

If you also want the optional external tool stack:

git clone --recurse-submodules https://github.com/3DSceneAgent/3DAgentTools ../3DAgentTools

2.3 Common Run Modes

Goal Command
Run API in headless mode ./scripts/run_headless.sh
Run API for a local Blender client ./scripts/run_local_client.sh
Run API manually python main.py --mode api --port 8000
Run CLI python main.py --mode cli
Run frontend dev server cd web && npm install && npm run dev
Run tests pytest

After the backend starts, open the web app and point it at http://localhost:8000.

If you want single-agent verify to add internal geometry penetration checks on top of the existing VLM visual check, enable:

  • SCENE_AGENT_ENABLE_PENETRATION_VERIFY=true
  • optional tuning via SCENE_AGENT_PENETRATION_THRESHOLD_M (default 0.02), SCENE_AGENT_PENETRATION_MAX_CANDIDATE_PAIRS, and SCENE_AGENT_PENETRATION_MAX_REPORTED_PAIRS

2.4 Setup References

3. Repository Structure

scene_agent/     Core runtime: graph, sessions, memory, providers, API/CLI
mcp_server/      MCP server runtime, tool gating, and tool registry
web/             React + TypeScript frontend (Vite)
addon/           Blender addon code and packaging for headless runtime support
tests/           Unit, integration, contract, and manual test suites
scripts/         Local helpers, smoke tests, validation, and cleanup tools
../3DAgentTools/ Optional sibling checkout for external tool services

4. Documentation Map

  • Runtime Workflow
    • Exact runtime graph, state flow, direct_mode vs plan_mode, single-agent vs dual-agent, evaluator behavior, image routing, and persistence touchpoints.
  • System Architecture
    • High-level layers, single-worker vs multi-worker deployment, owner-proxy behavior, Redis coordination, and persisted sessions.
  • Startup and Deployment Guide
    • Local setup, macOS/Linux prerequisites, single-worker and multi-worker startup flows, and Docker entry points.
  • MCP Server and Tools
    • MCP server role, tool categories, runtime gating, mode constraints, and optional external services.
  • Tool Servers
    • External 3DAgentTools stack, expected services, startup options, and host/port coordination.
  • Configuration Reference
    • Provider, API, session, persistence, tool, and frontend-related environment variables.
  • Roadmap
    • Near-term workflow improvements, product expansion directions, local-client priorities, and currently known UI/runtime issues.
  • How This Differs from blender-mcp + claude code
    • Design differences in agent orchestration, headless execution, multimodal tooling, and web-side editing support.
  • CHANGELOG
    • Date-based summary of major updates.

5. Acknowledgements

License

Apache License 2.0. See LICENSE.

Contributing

Please read CONTRIBUTING.md before opening pull requests.

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