If your multi-agent stack can’t hand off work between tools built by different vendors, you’re not running agents — you’re running expensive automation with extra steps.

Every enterprise AI stack has the same broken seam

AI agents built by different vendors don’t speak a common language, so every handoff between them requires custom glue code or a human relay. That bottleneck kills the productivity case for agentic workflows before they ever reach production.

Google just rewired how agents coordinate at scale

[AINews] Google’s Agent2Agent Protocol (A2A) is an open protocol that gives AI agents from different vendors a shared standard for discovering each other, passing tasks, and returning results — no custom integration layer required. Each agent publishes an Agent Card that describes its capabilities, then communicates through a structured Task object that carries messages in and returns an Artifact out. Built-in enterprise auth, observability hooks, streaming support, and push notification security ship with the spec on day one.

Infrastructure teams feel this before anyone else does

• Enterprise architects building multi-vendor agent pipelines who need one auth and observability standard instead of five.
• AI product managers shipping agentic features who currently wait weeks for custom API contracts between agent vendors.
• Platform engineers responsible for production agent reliability who need push notification security baked in, not bolted on.

The protocol is designed to sit alongside Anthropic’s MCP, not replace it — MCP handles tool use, A2A handles agent-to-agent delegation.

Anthropic and Google are converging, not competing, and that changes everything

Google launched A2A with a named partner list at Cloud Next 2025, signaling that the agentic infrastructure tier is consolidating around two complementary open standards faster than most enterprise buyers expected. If A2A and MCP become the default pairing, any agent vendor that doesn’t comply will be cut out of the coordination layer entirely.

What you can actually do with it today

• Define an Agent Card so your custom agents are discoverable by other A2A-compliant systems.
• Route long-running tasks between specialized agents without writing custom handoff logic.
• Monitor cross-agent job status through the built-in observability recommendations.
• Build with the Agent Development Kit to test A2A task flows locally before production.

Pricing not listed — check our directory.

The spec is open but the adoption window is short

A2A is currently a draft specification, which means the coordination patterns your team adopts now could become technical debt fast if the spec shifts before v1.

MCP remains the cleaner, more mature standard for single-agent tool use. Teams that only need one agent calling external tools don’t need A2A yet — the complexity cost isn’t justified until you have multiple agents that need to delegate to each other.

The agentic infrastructure tier is being decided right now

The race to own the default coordination layer between AI agents is happening in the open, and the winners will be embedded in every enterprise stack within 18 months. We cover tools like this every Friday — subscribe here and we’ll send the best ones straight to you.