Future-proof AI Protocol

Build your own AI agent

Author

Aaron Samuel
May 18, 2025

Hey clever people,

Learn how to make your own AI Agent with @0xTylle

If you ever want to build your own AI system, you need two protocols, MCP and A2A. 

What Are MCP and A2A?

Together, they form the protocol stack for autonomous agents:

  • MCP connects agents to external tools and data

  • A2A lets agents collaborate with each other directly.

    They move us from one-off tools and prompts → to modular, scalable agent systems that work across companies and use cases. (They are co-founders of creating your own AI agent) 

Model Context Protocol (MCP): The Adapter for Tools + Memory

Think of MCP like USB-C for AI agents.

What It Does:

  • Routes structured context across tools + agents

  • Lets agents use memory and perform multi-step tasks

  • Turns tool access into clean, reliable workflows

How It Works:

  • Uses a JSON-RPC 2.0 interface

  • Runs on a client-server architecture

  • Compatible with OpenAI, Anthropic, and more

Developer Benefits:

  • No need to write custom scripts for every API

  • Safer and faster tool access

  • Easier to scale and maintain complex agents

Typical Flow:

  1. Connect to MCP server

  2. Discover available tools

  3. Let the model choose a tool

  4. Execute via MCP

  5. Return the result

This unlocks persistent memory, secure tool use, and clean workflows that scale. (No need to remember the sales, let AI scale your business)

Agent-to-Agent Protocol (A2A): The OS for Multi-Agent Collaboration

Built by Google, A2A is an open protocol that lets agents negotiate, delegate, and collaborate with each other without any central orchestrator. (Everything is assigned) 

What It Enables:

  • Cross-vendor communication

  • Multi-modal workflows (text, audio, forms, etc.)

  • Long-running and short tasks

  • Natural memoryless conversations or persistent agent swarms

Key Features:

  • Uses JSON-RPC, SSE, and HTTP

  • Supports enterprise auth + discovery via Agent Cards

  • Already backed by 50+ partners: SAP, Salesforce, LangChain, Atlassian, Wipro, BCG

This is how agents scale up from solo tasks to team coordination.(The journey from intern to founders)

Why MCP + A2A Matter

Together, these protocols:

  • Enable modular agent apps

  • Standardize context and memory

  • Replace custom glue code with clean, reusable infrastructure

  • Power multi-agent swarms with shared tools and goals

The future of agents isn’t just better prompts or smarter models.
It’s protocol-driven coordination that brings structure and interoperability at scale.(Sometimes, it is the little things)

So... Are They in Your Stack Yet?

If you’re:

  • Building AI workflows

  • Creating agent-first tools

  • Or thinking long-term about scalable systems...

You’ll want MCP and A2A in your dev stack sooner rather than later. (So, be there before anyone else)  

More power-packed insights are coming to your inbox soon,
— Written by Aaron & The Clever Nest Team