AI and Agents

Agent2Agent and MCP: The Plumbing of the Agent Economy

Google announced the Agent2Agent protocol on April 9, 2025. It does not replace Anthropic's MCP. The two solve different problems, and an operator should know which is which before buying anything.

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Every time a new standard shows up, someone tells you it will change everything, and someone else tells you it is a nothing burger. Both are usually wrong. The useful question is smaller: what job does this thing do, and does it touch my business yet?

On April 9, 2025, Google announced the Agent2Agent protocol, A2A for short. The headlines made it sound like a rival to Anthropic's Model Context Protocol. It is not. It is the other half of the plumbing. Here is how to tell the two apart, in plain English, so you can ignore the noise and watch the right things.

What did Google actually announce on April 9?

Google released A2A as an open protocol, meaning a published set of rules any company can build against. Its goal is to let agents built by different vendors on different frameworks find each other, trade information securely and coordinate actions.1

How two agents talk to each other

The announcement describes two roles. A client agent formulates and communicates a task. A remote agent acts on it.1 Before that can happen, the client has to know who it is talking to. So an agent can publish an "Agent Card," a small description in JSON format of what it can do, which lets the client find a suitable agent for the job.1

Think of it like a contractor directory. You do not hire a plumber by walking into a house and shouting. You look up who does plumbing, read what they handle, then send them a work order. The Agent Card is the listing. The task is the work order.

Who signed on

Google said more than 50 technology partners were working with the protocol at launch, naming companies such as Atlassian, Box, Cohere, Intuit, LangChain, MongoDB, PayPal, Salesforce, SAP and ServiceNow.1 It also said it was working with partners on a production-ready version "later this year."1 Read that as a signal, not a finished product.

What is MCP, and how is it different?

The Model Context Protocol came first. Anthropic announced it on November 25, 2024 as an open standard for secure, two-way connections between data sources and AI tools.2 The problem it targets is a messy one: every new data source needed its own custom connection, which made connected systems hard to scale.2

I will keep this short, because MCP deserves its own deep dive and this piece is about the new half. The one-line version: MCP is how an agent uses tools. Your calendar, your files, your CRM, your database. One agent, many tools.

A2A in the same one line

A2A is how agents work with each other. One agent, many agents. Google says this directly: A2A complements MCP, which supplies tools and context to agents, while A2A handles the collaboration between them.1

MCPA2A
Connects an agent to tools and dataConnects an agent to other agents
One agent reaching outAgents handing work to each other
Answers "what can I use?"Answers "who can I ask?"
Announced November 25, 2024Announced April 9, 2025
Flow, 4 stepsWhere each protocol sits (simplified)
  1. TaskA client agent formulates the work
  2. A2AIt finds a remote agent through its Agent Card and hands over the task
  3. MCPThe remote agent reaches tools and data
  4. ReviewA human approves anything that touches a customer or money

Why should a business owner care about agents talking to agents?

Because the way you will probably use AI in two years looks less like one chatbot and more like a small staff. One agent triages your inbox. Another prepares proposals. Another watches your ad account. Today those are separate islands. Each one has its own login, its own memory, its own rules.

The promise of a protocol like A2A is that those islands could trade work without a human copying and pasting between them. Google frames the bigger idea as agents collaborating in a multi-agent ecosystem across siloed data systems and applications.1 If that works, the thing that stops being scarce is the connection. The thing that stays scarce is judgment.

The part nobody mentions: permissions

When agents hand work to other agents, mistakes travel too. An agent that can send email, spend money or edit your website, and that accepts instructions from another agent, needs a short leash. Google's own announcement lists "secure by default" among the design principles for A2A.1 That is the right instinct. It is still your job to decide what each agent is allowed to touch.

What should you do about A2A and MCP right now?

Less than the hype suggests. Here is the order I would work in.

  1. List the systems your business runs on: CRM, email, calendar, payments, ad accounts, website. Write down which ones have an open, documented way to connect.
  2. Prefer tools that connect through open standards over tools that lock your data in. That is the cheapest hedge against any protocol winning or losing.
  3. Start with one agent doing one job (the case for that is in Agents vs Workflows), with a human approving anything that reaches a customer or spends money.
  4. Give each agent the minimum access it needs, a lesson from Operator and Computer Use. Read-only first, write access later and only where you have checked the output.
  5. Check back when the production-ready A2A version arrives. Until then, treat agent-to-agent handoffs as an experiment, not infrastructure.

A standard tells you what can connect. It never tells you what should.

Ekai Stone

Is this the beginning of an "agent economy"?

Maybe. The pieces are lining up: models that can use tools, one open standard for tools, and now an open proposal for agents to coordinate. I am not going to tell you where it lands. I have watched plenty of platform announcements promise the moon and deliver a settings page.

What I will say is that the businesses that benefit are the ones whose house is already in order. Clean offers. Clean data. One owner for each process. If your business runs on five disconnected tools and a pile of copy and paste, adding agents just makes the mess faster. Getting that foundation right is the work I take on.

Keep building.Ekai

Questions people ask

What is the Agent2Agent protocol?

Agent2Agent (A2A) is an open protocol Google announced on April 9, 2025 so AI agents built by different vendors can find each other, hand off tasks and collaborate securely.

What is the difference between A2A and MCP?

MCP gives a single agent access to tools and context, such as files, databases and apps. A2A lets separate agents communicate and coordinate with each other. Google describes A2A as complementing MCP, not replacing it.

Do I need to do anything about A2A today?

Not yet. Google said a production-ready version was planned for later in 2025. For now, keep your business data and tools in systems that expose clean connections, and watch which vendors adopt open standards.

Who supports the Agent2Agent protocol?

Google said more than 50 technology partners were working with it at launch, including Atlassian, Box, Cohere, Intuit, LangChain, MongoDB, PayPal, Salesforce, SAP and ServiceNow.

Sources

  1. 1
    Announcing the Agent2Agent Protocol (A2A)

    Google Developers Blog, Apr 9, 2025123456789

  2. 2
  • agent2agent protocol
  • a2a
  • model context protocol
  • ai agents
  • interoperability
Ekai Stone

Ekai Stone

17 years in business for myself. 12 years running Meta ads, since 2014. Ad director for three 8 figure brands and one 9 figure brand. I build revenue systems that owners keep and run.

ekaistone.comResultsThe Seven Star Build

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