If your AI agents can’t talk to each other, every automation you build is a dead end.

Every multi-agent workflow today is a custom wiring job no one has time to maintain

Right now, connecting AI agents across vendors means writing brittle glue code by hand, every single time. The real cost is compounding technical debt in systems that were supposed to save time.

Google just shipped a protocol so agents can hire each other

[AINews] Google’s Agent2Agent Protocol (A2A) is an open interoperability protocol that defines how agents discover each other, delegate tasks, and return structured results without human intervention. You start with an Agent Card that describes what a remote agent can do, open a Task channel to pass Messages between agents, and receive an end-result Artifact when the job is done. The spec also ships with enterprise authentication, observability hooks, streaming support, and a companion Agent Development Kit.

Platform engineers are going to feel this first

• Enterprise architects building multi-vendor agent pipelines who need a single auth and observability layer they don’t have to invent themselves.
• AI product managers at companies already using Anthropic’s MCP who need to know whether A2A replaces it, complements it, or creates a new dependency.
• Developers shipping agentic features who want push notification and streaming support baked into the spec rather than bolted on afterward.

Google was explicit that A2A is designed to complement MCP, not compete with it. MCP handles tool use; A2A handles agent-to-agent delegation. The distinction is narrow enough to cause real confusion in production.

The multi-agent space just picked up a de facto standard whether it wanted one or not

Google launched A2A at Cloud Next with a partner list that signals critical mass from day one, and Anthropic already has MCP embedded across dozens of major platforms. The two protocols together now define a coordination layer that any serious agentic product will need an opinion on before end of year.

• Define an Agent Card so other agents can discover and call your service.
• Delegate long-running tasks to remote agents and receive structured Artifacts on completion.
• Attach enterprise auth and audit logs to every agent handoff without custom middleware.
• Stream intermediate results back from remote agents rather than waiting on a blocking call.

Pricing not listed — check our directory.

The spec is still a draft, and real-world behavior between agents from different vendors has not been tested at scale.

If you’re already invested in MCP, A2A is an extension, not a replacement. If you’re building fresh, waiting for both specs to stabilize before committing to an architecture is a defensible position.

Agent coordination is becoming infrastructure, and the spec wars are just starting

The shift from single-agent tools to networked agent systems is the most consequential architectural change hitting engineering teams right now. We cover tools like this every Friday — subscribe here and we’ll send the best ones straight to you.