MCP in the Wild: Real Time Agentic Systems with Live A/B Testing
Ever wondered how to build a real-time multiplayer “AI game” where each agent plans, reasons and acts in neat little modules? With Arun Gupta’s Multi-Context Protocol (MCP), you can spin up Python-based agents (via CrewAI and FastAPI), swap in any LLM—GPT-4, Claude, Mixtral—on the fly, and watch how they change your game’s vibe without rewriting a lick of core code.
Plus, you get built-in A/B testing: flip models mid-match, track planning time, replanning frequency and context-switching effects, then see which agent really shines. It’s open source, protocol-driven architecture that turns messy orchestration into clean, tunable multi-agent magic—perfect for anyone building with LLMs.
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