Summary
Arun Gupta’s talk showcases the Multi-Context Protocol (MCP), which breaks AI agent behavior into modular stages like planning, reasoning and execution, then stitches them into real-time multiplayer games using Python, CrewAI and FastAPI. The coolest part is hot-swappable LLMs—you can instantly switch between GPT-4, Claude, Mixtral and more without touching your core code.
He also demos live A/B testing by swapping models mid-game and capturing structured MCP metrics (planning time, replanning frequency, context-switch impacts) to benchmark performance beyond just token counts or latency. The hands-on open-source repo and protocol-based design promise to rescue any multi-agent system from spaghetti orchestration.
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