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title: Exploring Agent2Agent Protocol (A2A) With Spring AI
description: A hands-on tutorial implementing the Agent2Agent (A2A) protocol using Spring AI to build a multi-agent job screening system. Covers creating A2A servers that...
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> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Exploring Agent2Agent Protocol (A2A) With Spring AI

**[Baeldung](https://daily.dev/sources/baeldung)** · 13 min read · 1 upvotes · 0 comments

## Summary

A hands-on tutorial implementing the Agent2Agent (A2A) protocol using Spring AI to build a multi-agent job screening system. Covers creating A2A servers that expose capabilities via Agent Cards at a well-known URL, implementing an AgentExecutor to handle incoming tasks, and building an orchestrator client that discovers remote agents at startup, delegates work to specialized agents, and consolidates their responses. The example uses three specialized agents (skills matcher, salary evaluator, background checker) coordinated by a single orchestrator exposed as a REST API.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://feeds.feedblitz.com/~/967127630/0/baeldung>

## Questions this post answers

### How does an A2A client discover what a remote AI agent can do?

An A2A client fetches an Agent Card, a JSON document published by the server at the well-known .well-known/agent-card.json path. The card lists the agent's name, description, skills, supported input/output modes, and URL, letting the client decide whether the remote agent fits a given task before sending it any work.

_Developers wiring up multi-agent systems can track A2A protocol patterns like this on daily.dev._

### How do I expose a Spring AI agent as an A2A server?

Add the spring-ai-a2a-server-autoconfigure dependency alongside a Spring AI model starter, then define beans for a ChatClient with registered tools, an AgentExecutor that maps incoming A2A messages to that ChatClient, and an AgentCard describing the agent's name, description, skills, and URL. The autoconfiguration then serves the agent card and handles A2A requests automatically.

_Teams building interoperable AI agents can follow Spring AI setups like this via daily.dev._

### How does an A2A orchestrator agent delegate tasks to multiple specialized agents and combine their results?

The orchestrator registers each remote agent's base URL, fetches their agent cards at startup into an AgentRegistry, and exposes a send-message-to-agent tool that lets its LLM pick an agent by name and send it a task via the A2A Java SDK. Once all remote agents respond with artifacts, the orchestrator's ChatClient merges the individual verdicts into one summary.

_Anyone designing multi-agent orchestration workflows can find implementation walkthroughs like this on daily.dev._

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- [Stop talking to AI, let them talk to each other: The A2A protocol](https://daily.dev/posts/stop-talking-to-ai-let-them-talk-to-each-other-the-a2a-protocol-xhgjvo7os) · The Next Web · 0 upvotes · 0 comments
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---

Tags: [#java](https://daily.dev/tags/java), [#ai-agents](https://daily.dev/tags/ai-agents), [#spring-ai](https://daily.dev/tags/spring-ai)

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