A2A (Agent-to-Agent Protocol)

A2A solves a different problem from MCP. MCP connects one agent to tools and data; A2A connects agents to other agents. Each agent publishes a small machine-readable 'agent card' describing its skills and how to reach it. A client agent reads that card, sends a task, and receives updates until the task is completed, with messages and files exchanged in a standard format. The agents never share their internal prompts, memory or tools; they only exchange the task and its outcome, which is what makes it safe to use across company boundaries.

Most Gulf and Egyptian businesses do not need A2A on day one. A single WhatsApp agent that books appointments or answers order questions is one agent with a few tools. The protocol becomes relevant when several specialised agents must cooperate: a sales agent that qualifies a lead on WhatsApp handing it to a scheduling agent that owns the calendar, or a hospital front-desk agent passing an insurance question to an agent run by the insurer. In those cases a standard handoff avoids building a custom bridge for every pair of agents.

Nano AI designs multi-step automations so that each agent has a narrow job, its own guardrails and an audit trail, and uses standard handoff patterns (A2A-style task exchange or plain queues) rather than one large prompt that tries to do everything. If a vendor pitches a 'multi-agent' system, ask what each agent is allowed to do, how a task is traced from the first message to the final action, and where a human can step in when two agents disagree or a task stalls.