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Agent Protocols & Interoperability Mastery

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4 lessons1 capstone project

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Learn the protocol concepts once, then map them into Claude, Copilot, Google, OpenAI and AWS implementations so agents can discover tools, exchange context, authenticate users and collaborate across vendor boundaries.

Part of Agent Mastery 2.0's shared production layer: protocols & interoperability → evaluation/reliability/security → cross-platform portfolio capstone.

Benchmark: Model Context Protocol specification + Google Agent2Agent (A2A) protocol (current Sep 2026)

Mastery Ladder

MCP

Client / Server Contract — Discover + Invoke + Exchange

Lifecycle and capability negotiation; tools, resources and prompts; transport/session behavior. Sampling and elicitation; progress/notifications; schemas, versioning and error handling. OAuth / authorization, user consent, secret handling and least-privilege tool scopes.

A2A

Multi-Agent Interop — Agent ↔ Agent

Agent cards/capability discovery, task delegation, status and artifact exchange. When to use MCP for tools/context vs A2A for peer-agent collaboration. Cross-vendor routing, protocol gateways, registries and portability boundaries.

IDENTITY

Governed Actions — Trust Boundaries

Agent workload identity, user-to-agent delegation, OAuth/IAM/Entra patterns and audit trails. Read-only vs write tools, approval steps, irreversible actions, rate limits and policy enforcement. Threat model prompt injection, confused-deputy, excessive agency and credential leakage.

Official References

Model Context Protocol - specification

Google - Agent2Agent (A2A) protocol introduction

AWS AgentCore Gateway - MCP / HTTP / inference targets

OpenAI - tools and remote MCP servers

Hands-On Proof

Expose one real system through an MCP server with at least one resource and two tools; connect two different agent runtimes; add identity/authorization; then demonstrate a cross-agent handoff or A2A task exchange with a traceable audit log.