MCP (Multi-Context Protocol) lets you split agent decision-making into modular blocks (planning, reasoning, execution) and wire them into a real-time multiplayer game using Python, CrewAI, and FastAPI. You can swap out GPT-4, Claude, Mixtral, etc., on the fly and instantly see how each LLM changes your agents’ behavior—no code rewrites required.
Want hard data? Run live A/B tests by switching models mid-game and track MCP metrics like planning time, replanning frequency, and context-switch impact. All demos use an open-source repo that shows how protocol-based design can declutter orchestration in games—or any multi-agent LLM system.
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