MCP (Multi-Context Protocol) lets you break down AI agents into neat modules—planning, reasoning, execution—and hook them up in a real-time multiplayer game using Python, CrewAI and FastAPI. The coolest part? You can hot-swap LLMs (GPT-4, Claude, Mixtral, etc.) on the fly and see how each one changes agent behavior without rewriting a line of core code.
Plus, you get built-in A/B testing: switch models mid-game, capture metrics like planning time, replanning frequency and context-switch impact, and benchmark LLM performance beyond just speed or token count. Perfect for anyone tired of spaghetti orchestration and looking to level up any multi-agent system with a clean, protocol-based design.
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