A2A Protocol vs MCP: Which Agent Communication Protocol Fits Your Stack?

Tue, 21 Jul 2026 00:00:00 +0000

Picking between A2A and MCP feels confusing because both are “agent protocols” — but they don’t actually compete.

A2A (Agent-to-Agent) and MCP (Model Context Protocol) solve different layers of the same problem. MCP connects your AI model to tools and data. A2A lets agents talk to each other. You might need one, the other, or both depending on your setup.

Let’s break down what each protocol actually does, where they overlap, and how to choose.

A2A Protocol

Sun, 28 Jun 2026 00:00:00 +0000

Overview

The A2A Protocol skill brings Google’s Agent-to-Agent communication standard into your AI agent’s toolkit. Unlike MCP (which connects models to tools and data), A2A handles something different — agent-to-agent collaboration. Your Claude Code or Cursor agent can discover other agents, exchange messages, and coordinate on long-running tasks without sharing their internal stack.

What It Does

Got multiple agents working on the same project? A2A lets them talk to each other. Each agent publishes an “agent card” — a lightweight JSON document describing its capabilities, endpoints, and auth requirements. Other agents discover these cards and start sending requests via JSON-RPC, gRPC, or plain HTTP.

Agent Communication on Top AI Skills

A2A Protocol vs MCP: Which Agent Communication Protocol Fits Your Stack?

A2A Protocol

Overview

What It Does