Anthropic has MCP. Google has A2A. OpenAI has their Agents SDK. The biggest players in AI are racing to define how agents communicate with each other.
After spending nine years building AI systems—including several that resulted in patents—I keep noticing a gap in all these protocols: humans.
**The Current Landscape**
- **MCP (Model Context Protocol)** - Anthropic's approach to standardizing how AI models share context
- **A2A (Agent-to-Agent)** - Google's protocol for autonomous agent coordination
- **OpenAI Agents SDK** - A production framework for multi-agent systems
Each solves real technical problems. But they all focus on AI-to-AI communication.
**The Missing Question**
When Agent A hands off to Agent B, what if a human should have been Agent B?
From my experience building AI in healthcare, finance, and logistics: the hardest part isn't AI talking to AI. It's AI knowing when to talk to humans—and doing that handoff well.
The protocol that figures this out wins.
**[Read the full analysis →](https://aictrlnet.com/blog/2026/01/protocol-wars/)**
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