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a2a-protocol

Build AI agents that communicate via the Agent2Agent protocol using JSON-RPC.

3|Updated Jan 28, 2026
Search Tags:#python#protocol#agents#server#json-rpc#a2a#client
One-click install
npx skills add https://github.com/ldmrepo/michael --skill a2a-protocol
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: a2a-protocol
Source: https://github.com/ldmrepo/michael/tree/main/.claude/skills/a2a-protocol
Command: npx skills add https://github.com/ldmrepo/michael --skill a2a-protocol

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a comprehensive guide and practical utilities for building, deploying, and interconnecting AI agents using the Agent2Agent (A2A) Protocol. It enables developers to define agent cards, implement server-client handlers, and work with JSON-RPC style bindings to facilitate agent-to-agent collaboration.

Core Features & Use Cases

  • Protocol definitions and data models: AgentCard, Task, Message, Part, Artifact, and JSON-RPC operation mappings.
  • Server/Client scaffolding: Reference implementations and patterns for building A2A servers and clients in Python.
  • Practical examples: End-to-end flows including agent discovery, streaming updates, and artifact communication using the A2A SDK.

Quick Start

Install and run the sample A2A server and client as demonstrated in the repository. Begin by configuring and launching the sample based on the provided instructions in SKILL.md.

Frequently Asked Questions about a2a-protocol

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build agents that communicate using the Agent2Agent protocol?▼

Agent2Agent (A2A) protocol enables AI agents to communicate through JSON-RPC bindings and server-client architecture. This Skill provides protocol definitions, data models like AgentCard and Message, and reference implementations to build A2A servers and clients in Python with the a2a-sdk.

What's the best way to implement A2A server and client handlers?▼

The Skill includes scaffolding patterns and end-to-end examples for implementing A2A servers and clients. Reference implementations demonstrate agent discovery, streaming updates, and artifact communication workflows using the a2a-sdk in Python.

Can I use JSON-RPC for agent-to-agent communication?▼

Yes. A2A protocol uses JSON-RPC style bindings to facilitate agent collaboration. This Skill maps protocol operations to JSON-RPC structures and provides practical examples showing how to integrate JSON-RPC handlers into server and client implementations.

Do I need specific prerequisites to use the A2A protocol?▼

You need the a2a-sdk and Python runtime. The Skill includes configuration instructions and sample code to launch A2A servers and clients. No additional dependencies are required beyond the a2a-sdk.

How do agent cards work in the A2A protocol?▼

AgentCard is a core A2A protocol data model that defines agent metadata and capabilities. This Skill covers AgentCard structure alongside related models like Task, Message, and Artifact to enable agent discovery and interoperability.

What limitations should I know about A2A server-client communication?▼

The A2A protocol operates within a Python runtime and requires the a2a-sdk. Communication patterns are constrained to JSON-RPC bindings and the defined protocol data models for Tasks, Messages, and Artifacts. Streaming and artifact handling follow specific protocol semantics.

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