MCP in the Wild: Real Time Agentic Systems with Live AB Testing

Imagine building a real-time multiplayer game where each AI agent splits its brain into neat modules—planning, reasoning, execution—and you can hot-swap GPT-4, Claude, Mixtral (or whatever) in the blink of an eye without rewriting a line of core code. That’s what Arun Gupta’s Multi-Context Protocol (MCP) lets you do using Python, CrewAI, and FastAPI.

On top of that, you can run live A/B tests by swapping models mid-game and capture structured MCP metrics—planning time, replanning frequency, context-switch impact—so you get way more than just token counts or latency. Dive into the open source repo, see the architecture in action, and discover how protocol-based design can rescue your multi-agent chaos from spaghetti orchestration.

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