UEMCP: UEMCP bridges AI assistants with Unreal Engine through a two-tier architecture that separates the MCP server (Node.js) from the Python Editor Plugin, enabling remote deployment of Unreal Engine editors. This implementation provides optimized wrappers around common UE Python API operations, reducing code generation by up to 85%. The repository includes automated setup for AI clients, comprehensive development context, and three specialized Claude agents for enhanced UE workflows.; fastmcp: FastMCP is a standard framework for building Model Context Protocol (MCP) applications, which connect LLMs to tools and data. It simplifies the process by automatically generating schemas, validation, and documentation for tools, and managing transport negotiation and authentication for server connections. FastMCP offers a comprehensive solution for developing, deploying, and scaling MCP-powered systems.
Automate level design and asset management tasks like organizing actors and spawning objects
Building LLM applications that interact with custom tools and data sources