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ProtocolReferenceA2A
a2a-samples
by a2aproject
Hands-on Jupyter samples demonstrating the Agent2Agent (A2A) protocol
Jupyter Notebook
Updated Jul 24, 2026
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Overview
Provides runnable Jupyter Notebook samples demonstrating the Agent2Agent (A2A) protocol stack. Shows client/server flows, MCP message patterns, and example agent interactions to illustrate how agents exchange tasks and results. Includes concrete code snippets and scenario-driven notebooks that make protocol behavior reproducible for developers. These notebooks illustrate the A2A protocol in action.
The Value Proposition
As agents begin delegating tasks to other agents, understanding the exact communication patterns is essential for trust and evaluation. These samples make A2A message flows explicit so teams can instrument, test, and add reputation hooks without guessing protocol semantics. Until now, many projects reimplemented similar patterns — these notebooks create a common reference to compare agent interactions and collect reproducible trust signals. Trust and interoperability are strengthened when teams consider the Model Context Protocol (MCP) and explore how patterns like the Event-Driven Agent Pattern can guide integration.
Ideal For
Developers and researchers implementing or testing A2A communication who need runnable, example-driven protocol reference. For deployment considerations and architecture patterns, review the Agent Service Mesh Pattern.
Applications
- Reproducing A2A message flows to instrument agent interaction logs for reputation signals
- Testing agent delegation and failure modes in a controlled notebook environment
- Using sample client/server code as a baseline for building A2A-compatible agents and RepKit-style evaluators
Topics
a2aa2a-clienta2a-mcpa2a-protocola2a-serveragentsgenerative-ai
Similar Tools
agent playgroundrepkit
Keywords
a2amulti-agent trustA2A evaluationagent-to-agent evaluation