AI agent protocol FAQs

A shared set of rules for how AI agents communicate — with tools and data, with each other, and with the applications that drive them. Protocols replace bespoke, one-off integrations with a common interface any compliant component can use.

No. There is no single official standard. The main ones are MCP (agent-to-tools), A2A (agent-to-agent) and the Agent Protocol REST spec (client-to-agent). They cover different layers and are often combined.

MCP standardises how one agent connects to tools, data and context. A2A standardises how independent agents delegate tasks to each other. They operate at different layers and complement one another.

A framework-agnostic REST API specification for driving an autonomous agent through runs, tasks, steps and artifacts. It gives clients a consistent, API-style way to start work and collect results, regardless of how the agent is built.

It depends on what you're connecting. Tools or data → MCP. Multiple agents → A2A. An API-style interface → Agent Protocol. Many systems use a hybrid. The protocol selector tool gives a tailored recommendation in five questions.

Yes, and many real systems do. A common pattern: expose an Agent Protocol REST API to clients, use MCP for tool access internally, and use A2A to delegate sub-tasks to peer agents.

It varies. Some have growing real-world adoption; others are earlier drafts. Because the space is evolving quickly, validate maturity against official documentation and your own testing before depending on any single spec.

No. AgentProtocol.ai is an independent, vendor-neutral guide. We are not affiliated with, or the official source for, any protocol, standards body or vendor named on the site. Always confirm details against each protocol's official documentation.