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Agent Interoperability Protocols

Agent interoperability protocols standardize how AI agents exchange context, discover capabilities, delegate tasks, and coordinate work across systems. They solve the fragmentation problem: without shared protocols, every agent integration requires custom code for each data source, tool, and peer agent it must interact with.

itArtificial intelligence and machine learning

Don't Panic — Agent Interoperability Protocols

AI agents are everywhere now — coding assistants, research bots, data analysts — and they all need to talk to each other. Before agent interoperability protocols, connecting an agent to a database meant writing custom integration code. Connecting to a file system meant writing more. Connecting to another agent meant writing even more. When you added a second agent from a different vendor, you started over. This is the N times M problem: N agents times M integrations, and most of it is duplicated busywork.

Four protocols now solve this, and they are complementary rather than competing. MCP is the USB-C port for AI — one standard interface that connects agents to data sources, tools, and prompts. A2A is the hiring protocol: one agent posts a task, another accepts it, and the requester gets the result without needing to know how the work happened. ANP is the phone book plus secure messaging for the agent internet, letting agents across organizational boundaries discover each other using decentralized identifiers. ACP was IBM's take on agent messaging, now folded into A2A.

The surprising part is how these protocols stack. You might use MCP to access a database, then A2A to delegate analysis to a specialized agent, then ANP to discover a translation service across the internet. They are not competing standards — they are layers in a stack, each solving a different part of the problem.

If you are new to this, start with the Glossary tab to get the vocabulary. The Reference tab has the protocol specs and SDK documentation. The Landscape tab shows the tools and platforms that support these protocols, so you can see what is actually being used in practice. The protocols are young — MCP launched in late 2024, A2A in early 2025 — which means the ecosystem is moving fast and the best time to learn it is now, before the patterns solidify and the migration costs start compounding.

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