MCP lets you build real-time multiplayer “games” where modular AI agents handle planning, reasoning, and execution—then chat with each other in a neat protocol instead of spaghetti code. Using Python, CrewAI, and FastAPI, you can hot-swap LLMs (GPT-4, Claude, Mixtral, you name it) on the fly and instantly see how each model changes agent behavior.
On top of that, you get live A/B testing built in: swap models mid-game, track metrics like planning time, replanning frequency, and context-switch impacts, then benchmark beyond just token counts or latency. The open-source repo walkthrough shows how this protocol-first design scales to any multi-agent system—ideal if you’re tired of wrestling with brittle orchestration.
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