If your AI agents can’t talk to each other, you’re not running an agentic workflow — you’re running a series of disconnected experiments.

Every multi-agent pipeline today is duct tape and custom glue code

Building workflows where agents from different vendors hand off tasks requires brittle, bespoke integration work that breaks every time a model updates. There is no shared vocabulary, no standard handshake, and no consistent way to track what one agent promised another.

A2A gives agents a shared language for the first time

[AINews] Google’s Agent2Agent Protocol (A2A) defines a structured communication layer where one agent can delegate a Task to a remote agent, pass Messages back and forth, and receive a final Artifact as output. You interact with it through the Agent Development Kit, the published spec, or the documentation site Google shipped alongside the announcement. What makes it distinct from Anthropic’s MCP is scope: MCP connects agents to tools and data, while Agent2Agent connects agents to other agents.

Infrastructure architects feel this before anyone else does

• Enterprise AI architects who spend weeks wiring together vendor agents can now rely on a shared protocol with built-in auth and observability baked into the spec.
• Developers building multi-step automation pipelines who need agents to hand off work reliably without polling or custom callbacks.
• AI product leads at companies already running MCP who need to extend coordination across agent boundaries without rebuilding their stack.

The timing is not accidental.

Google just forced the multi-agent coordination question into every enterprise roadmap

Google launched Agent2Agent with a partner list that signals serious adoption pressure, and it was announced in the same breath as full MCP support, meaning the two protocols are positioned as complements rather than competitors. If agent interoperability becomes an assumed baseline in enterprise procurement, vendors without A2A support will start looking like vendors without API access looked in 2018.

What you can do with it today

• Define an Agent Card to make your agent discoverable to other A2A-compatible agents.
• Delegate long-running tasks to remote agents and receive structured Artifact outputs.
• Wire streaming and push notifications into agent handoffs without custom polling logic.
• Run A2A alongside MCP to cover both tool access and agent-to-agent coordination in one stack.

Pricing is not listed for the open protocol itself — check our directory for tooling built on top of it.

The spec is still a draft, which means implementations built today may need to absorb breaking changes before the standard stabilizes.

If you are already deep in Anthropic’s MCP ecosystem, Agent2Agent is additive rather than disruptive — the two specs were designed to coexist. The real alternative is waiting for a de facto standard to emerge from actual production usage rather than betting on Google’s proposed spec now.

The race to own how agents coordinate just became a standard war

This is the kind of infrastructure shift that looks like a footnote until it rewrites every vendor integration decision made in the next 18 months. We cover tools like this every Friday — subscribe here and we’ll send the best ones straight to you.