vedantrgosavi_ue5_mcp

vedantrgosavi_ue5_mcp

by VedantRGosavi
Integrates AI-driven automation into Unreal Engine 5 and Blender workflows for game level creation and asset management.

AI-Driven Automation for Unreal Engine 5 and Blender

Overview

UE5-MCP (Model Control Protocol) is designed to integrate AI-driven automation into Blender and Unreal Engine 5 (UE5) workflows. This project builds upon BlenderMCP to provide an end-to-end pipeline for AI-driven game level creation, enhancing level design, asset management, and gameplay programming.

Features

AI-Driven Scene Generation (via BlenderMCP)

  • Text-to-Scene conversion in Blender
  • Image-to-Scene reference-based generation
  • Material and texture management
  • Automated scene composition
  • PolyHaven asset integration

Unreal Engine Integration

  • Automated scene import
  • Game level conversion
  • Material and lighting transfer
  • Level optimization utilities
  • Blueprint-based scene manipulation

Asset Management & Creation

  • Generates and modifies 3D models, textures, and materials using AI
  • Workflow automation for asset transfers between Blender and UE5

Gameplay Programming & Debugging

  • Assists in Blueprint scripting
  • Performance profiling
  • Automated debugging for UE5

Prerequisites

  • Blender (latest stable version)
  • Unreal Engine 5 (UE5)
  • Python 3.x
  • Required Python packages (specified in dependencies.md)

Installation

  1. Clone the repository:
    shell git clone https://github.com/your-repo/UE5-MCP.git

  2. Install dependencies:
    shell pip install -r requirements.txt

  3. Configure settings (refer to configurations.md)

  4. Run MCP within Blender or UE5 as per the workflow instructions (workflow.md)

Usage

  • For Blender: Use Blender-MCP to automate scene creation and asset generation
  • For Unreal Engine 5: Utilize UE5-MCP for automated level design, asset integration, and debugging
  • For AI Integration: Check ai_integration.md for available AI-powered automation features

For detailed commands and parameters, refer to commands.md.

Contributing

See CONTRIBUTING.md for contributing guidelines and best practices.

License

Refer to LICENSE.md for licensing details.

Troubleshooting

If you encounter issues, check troubleshooting.md or submit an issue on GitHub.

Contact

Vedant Gosavi - [email protected]
Aditya Mhambrey Charles Green - [email protected]

Acknowledgments

  • BlenderMCP project contributors
  • Unreal Engine community
  • [Additional acknowledgments]

Features & Capabilities

Categories
mcp_server model_context_protocol unreal_engine_5 blender ai game_development automation python

Implementation Details

View on GitHub

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Repository Info

VedantRGosavi Organization

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