A2A Protocol

A2A Protocol

A2A Protocol

TL;DR

TL;DR

A2A Protocol (Agent2Agent) is an open standard that lets AI agents from different vendors discover each other, share tasks, and collaborate securely.

A2A Protocol (Agent2Agent) is an open standard that lets AI agents from different vendors discover each other, share tasks, and collaborate securely.

What is the A2A Protocol?

The A2A Protocol (Agent2Agent) is an open standard that gives AI agents a shared language for working together. It lets an agent built on one framework discover, message, and delegate tasks to an agent built on a completely different stack, without either side exposing its internal logic, memory, or tools.

Google introduced A2A in April 2025 with more than 50 launch partners, then donated it to the Linux Foundation to keep governance vendor neutral. The protocol runs on familiar web plumbing: JSON-RPC 2.0 over HTTPS, with Server-Sent Events for streaming long-running work.

A2A is often mentioned alongside the Model Context Protocol, and the two are complementary. MCP connects an agent to tools and data; A2A connects agents to other agents.

Why the A2A Protocol Matters

Enterprise support is heading toward multiple specialized agents rather than one monolith. A billing agent, a fraud agent, and a scheduling agent may come from different vendors, and without a common protocol every pairing needs custom integration work. A2A replaces that N-squared integration problem with one standard handshake.

Interoperability is now a real evaluation criterion when comparing agentic AI support platforms, because it determines how well a new agent fits an existing stack. A2A also makes multi-agent orchestration practical at scale: a coordinating agent can route a refund dispute to a payments agent and a compliance agent in parallel, then assemble one answer for the customer.

How the A2A Protocol Works

Every A2A-compliant agent publishes an Agent Card, a JSON file describing its capabilities, endpoint, and supported authentication schemes. A client agent reads the card, decides whether the remote agent can handle the job, and opens a task.

Tasks are the core unit of work. Each moves through a defined lifecycle (submitted, working, input required, completed, failed), and agents exchange messages and artifacts within it. Long-running tasks stream status updates over SSE or push notifications, so a job that takes hours, like a human-approved refund, stays trackable.

Agents stay opaque to each other throughout. They exchange context and results, never internal memory or credentials, which is why security teams evaluating integration-first support platforms treat A2A-style boundaries as a feature rather than a limitation.

How Fini Approaches the A2A Protocol

Fini's autonomous agents already work the way A2A assumes agents should: as specialized workers that hand tasks to one another with full context across voice, chat, and email. Fini connects to helpdesks, CRMs, and payment systems through governed APIs, keeps PII Shield redaction always on so sensitive data never leaks between systems, and backs it all with SOC 2 Type II and ISO 27001 controls.

Teams shortlisting secure agentic AI platforms can see this in production today: 99% accuracy, a 90% resolution rate, and deployments live in 30 days. To see how interoperable agents would fit your stack, book a demo.

Frequenty Asked Questions

What does A2A protocol stand for?

A2A stands for Agent2Agent. It's an open protocol, announced by Google in April 2025 and now governed by the Linux Foundation, that defines how independent AI agents discover each other, exchange messages, and delegate tasks. The goal is interoperability: an agent built on one vendor's framework can collaborate with an agent from another vendor without custom integration code.

What is the difference between A2A and MCP?

MCP (Model Context Protocol) connects a single agent to external tools, files, and data sources, while A2A connects whole agents to each other. In practice they stack: an agent might use MCP to query a CRM, then use A2A to hand the enriched case to a specialist billing agent. Serious multi-agent architectures typically need both.

Who created the A2A protocol?

Google announced A2A in April 2025 with more than 50 technology and consulting partners, including Salesforce, SAP, and PayPal. In June 2025, Google donated the specification to the Linux Foundation, which now stewards it as a vendor-neutral open standard. That move mirrors how other infrastructure standards, like Kubernetes, earned broad industry adoption.

How does the A2A protocol work?

Each agent publishes an Agent Card, a JSON description of its skills, endpoint, and authentication requirements. A client agent reads the card and opens a task over JSON-RPC 2.0 on HTTPS. The agents then exchange messages and artifacts until the task completes, with Server-Sent Events streaming progress on long-running work while each agent's internal memory and tools stay private.

Is A2A secure enough for regulated industries?

The protocol supports enterprise authentication schemes and keeps agents opaque to each other, which limits data exposure by design. But real security depends on implementation. Platforms like Fini layer always-on PII redaction, SOC 2 Type II, ISO 27001, and HIPAA-compliant controls on top of agent-to-agent communication, which is what regulated fintech and healthcare buyers should expect from any multi-agent deployment.

Do customer support teams need A2A today?

Most teams don't need it on day one, but the direction is clear. As support stacks add specialized agents for billing, fraud, scheduling, and triage, a shared protocol prevents brittle point-to-point integrations. If you're evaluating vendors now, ask how their agents will interoperate with agents you add later; platforms built for orchestration from the start, like Fini's, avoid that rework.