Technology / A2A
A2A
Agent2Agent (A2A) is an open protocol announced by Google in April 2025 that lets AI agents from different vendors and frameworks discover, communicate and collaborate with each other.
Technical background
MCP solved model-to-tool connections; A2A targets the adjacent problem of agent-to-agent communication. Google announced A2A in April 2025 with more than fifty initial partners, positioning it as a complementary standard: MCP for tools, A2A for agents talking to agents.
How it works
Agents expose an “Agent Card” — a JSON description of capabilities, skills and authentication — discoverable at a well-known URL. Communication uses JSON-RPC tasks: one agent sends a task (or a multi-part message), and the receiving agent streams status and artifacts back. A2A is transport-agnostic and supports long-running, multi-turn agent collaboration.
Why it matters
Real enterprise work crosses vendor boundaries: a procurement agent, a legal agent and a logistics agent each live in different systems. A2A aims to make cross-vendor agent workflows a configuration problem rather than an integration project. It also separates agent identity and capability discovery from tool calling.
Chinese adoption
Adoption data in the China AI Hub database is thin: none of the ten tracked Chinese agents (last verified 2026-09-22) lists A2A support explicitly. Chinese agent ecosystems currently favor MCP (seven of ten agents list it) and proprietary in-ecosystem orchestration. We report this as a data gap rather than inferring a trend.
Major Chinese companies and models
No verified A2A listings in our database as of 2026-09-22. This section will be updated as vendor documentation confirms support.
Practical applications
Cross-vendor agent workflows, agent marketplaces with discoverable capabilities, and multi-company supply-chain or procurement automations where each party runs its own agents.
Limitations
Young protocol with a smaller production footprint than MCP; inter-agent trust, payment and liability models remain unsolved; and without adoption it stays a standard on paper.
Deployment considerations
If evaluating, treat A2A as a forward option: design internal agent APIs so they could publish an Agent Card later, but build today’s integrations on MCP where tool access dominates.
Future development
Likely convergence of MCP and A2A semantics, registry and identity standards, and negotiation protocols (cost, SLAs) between agents. Watch vendor documentation rather than announcements.