Ureanl-Blender-MCP

# Development Plan for unreal-blender-mcp This document outlines the sequential development workflow for the unreal-blender-mcp project, which aims to create a system allowing AI agents to control both Unreal Engine and Blender through a unified MCP server. ## Development Sequence 1. **Project Setup and Environment Configuration** - Set up project structure, dependencies, and development environment - Create configuration files and initialize repository 2. **MCP Server Core Development** - Implement basic SSE server functionality - Design and implement the API structure - Integrate basic Langchain functionality for state management 3. **Blender Addon Integration** - Adapt existing blender-mcp addon - Implement required endpoints and functionality - Test communication with MCP server 4. **Unreal Engine Plugin Development** - Create UEPythonServer plugin structure - Implement HTTP server in Unreal Engine - Develop Python code execution functionality - Test communication with MCP server 5. **Integration and End-to-End Testing** - Test full communication flow between all components - Verify functionality across different scenarios - Optimize performance and fix issues 6. **AI Agent Integration** - Configure system for use with Claude/ChatGPT - Define tool functions for AI agents - Test AI-driven workflows 7. **Documentation and Refinement** - Complete user and developer documentation - Refine error handling and edge cases - Prepare for release Each stage has its own detailed workflow document that breaks down specific tasks, testing procedures, and deliverables. ## Development Principles 1. **Modular Testing**: Each component should be testable in isolation before integration 2. **Continuous Integration**: Regular testing of integrated components 3. **Documentation-Driven**: Write documentation alongside code 4. **Security-First**: Implement security measures from the beginning 5. **User Experience**: Consider the end-user (AI agent) experience throughout ## Progress Tracking Each workflow document includes checkboxes for task completion and a log section for recording progress, issues, and solutions.