MCP in the Wild: Real Time Agentic Systems with Live A/B Testing

Discover how the Multi-Context Protocol (MCP) lets you build real-time, multiplayer games (or any multi-agent system) by breaking agent behavior into neat little modules—planning, reasoning, execution—and wiring them up with Python, CrewAI, and FastAPI. Swap out GPT-4, Claude, Mixtral, whatever, on the fly and see the differences immediately without rewriting a single line of your core code.

We’ll also show you how to run A/B tests mid-game by swapping models and gathering cool MCP metrics like planning time, replanning frequency, and context-switch impacts. It’s all about benchmarking your LLMs beyond token counts and latency, then tuning your architecture for peak performance—all from an open-source repo you can dive into right now.

Watch on YouTube