Ever wanted AI bots to talk, plan, and execute decisions in real time? MCP lets you slice agent behavior into planning, reasoning, and execution modules and plug them into a live multiplayer game with Python, CrewAI, and FastAPI. The best part—swap GPT-4, Claude, Mixtral on the fly and see differences without rewriting your logic.
You can even run A/B tests mid-game, tracking metrics like planning time, replanning frequency, and context-switch impact to benchmark performance beyond tokens or latency. Dive into the open source repo, explore the protocol-based design, and discover how MCP can tame the spaghetti of multi-agent orchestration in your next LLM project.
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