So, is there a difference between MCP and inter-AI Agent Protocols?

Yes, MCP (Model Context Protocol) and inter-AI Agent communication protocols serve distinct purposes.

MCP is a standardised interface that enables AI models to access external resources—such as databases, APIs, or file systems—facilitating vertical integration between models and tools.

Conversely, inter-AI Agent protocols allow AI agents to communicate, coordinate & collaborate within multi-agent systems, supporting horizontal integration through tasks like

- information sharing,

- negotiation, and

- teamwork.

In essence, MCP connects models to resources, while inter-AI Agent protocols enable agent-to-agent interactions in distributed AI systems.

Chief Evangelist @ Kore.ai | I’m passionate about exploring the intersection of AI and language. From Language Models, AI Agents to Agentic Applications, Development Frameworks & Data-Centric Productivity Tools, I share insights and ideas on how these technologies are shaping the future.