MCP, A2A, Agentspace: The 3-Layer Stack You Need to Build Serious AI Workflows
What's the current business landscape? It’s a pressure cooker.
We’re all facing the same relentless demands: do more, faster, with less. Budgets are tight, talent is scarce, and the sheer volume of tasks threatens to overwhelm even the most dedicated teams.
And if you bet on AI chatbots to solve your inefficiencies, well… It's also not enough.
You need to build AI workflows that go beyond glorified chatbots—workflows that reason, coordinate, and improve—you’re going to need more than a single model calling an API.
You’ll need a stack.
Let me show you the one we use.
The Problem: Scaling Intelligence Is Hard
I’ve worked with dozens of companies in the past year—tech, finance, logistics, you name it. They all face the same dilemma:
Too many processes. Not enough people.
Human errors. Outdated systems.
Decisions delayed. Data ignored.
Customers leaving because they waited 3 minutes too long on chat.
Sounds way too familiar, right?
That's because you can't scale knowledge work with human effort alone. Not anymore. And certainly not if you want to stay competitive while keeping costs flat.
We’re entering the Agentic Era of business operations, and the first movers are already 10x’ing their efficiency because AI agents:
Think in context.
Collaborate across departments.
Handle multi-step tasks end-to-end.
Talk to other agents and services without you lifting a finger.
The only catch? You need the right architecture to make them work together.
The 3‑Layer Stack You Need to Build Serious AI Workflows
Let me introduce the master plan: MCP, A2A, and Google Agentspace—a three-tier architecture that turns ambitious AI workflows into reality.
1. Model Context Protocol (MCP) – The “USB‑C” for AI
What it is: An open standard (championed by Anthropic and adopted by OpenAI, Microsoft, Google DeepMind) that enables AI models to securely connect with external data—APIs, databases, file systems—via a universal interface.
Why you need it:
Reduces hallucinations by structuring the task state.
Keeps memory across sessions and tools.
Supports plug-and-play with different LLMs.
Want your agents to be smart? MCP gives them a brain with context.
2. Agent‑to‑Agent Protocol (A2A) – Agents Talking to Agents
What it is: A universal protocol from Google for agent-to-agent communication. Now, coordination, delegation, and negotiation are all standardized via JSON-RPC, HTTP, and SSE.
Why you need it:
Modular automation (no monoliths here).
Clear task delegation.
Agents operate as a team, no silos.
Want scale? You’ll need agents that talk to each other, not just to you.
3. Google Agentspace – The EXECUTION Layer
What it is: Google’s enterprise-grade AI agent platform: connects apps, secures your data, gives you prebuilt and custom agents, and supports agent galleries—all sitting atop MCP + A2A.
Why you need it:
Visual workflow editor.
Built-in integration with GCP, BigQuery, Vertex AI.
Hosted and secured by Google Cloud.
Easily connects to APIs, databases, and SaaS tools.
If MCP is the brain and A2A is the voice, AgentSpace is the body that makes everything move.
How It All Fits Together - The AI Agent Stack
When combined, MCP, A2A, and Agentspace make a fully integrated AI agent stack. With this combo, you’re equipped for anything: automating cybersecurity, cloud infra upgrades, or secure GCP migrations, you name it.
MCP layer: Connect your AI model to live data—no custom APIs, just plug-and-play.
A2A layer: Let your agents find, talk, and orchestrate—whether built by you or a third-party vendor.
Agentspace layer: Give it the enterprise-grade home it deserves—security, governance, deployment, and scale.
Why This Stack Works for Business
It's not just about technical elegance. It's about the business advantage.
With this stack, we’ve helped companies:
Cut ticket resolution time by 70%
Automate onboarding, invoicing, and support
Deploy customer service agents that don’t sleep (or complain)
Improve security through smart alerts and log analysis
Free up human talent for strategy, not spreadsheets
And the best part? You don’t need to build it all from scratch.
Zazmic Can Help You Get Started For Free
If you’re tired of inefficiency, manual overload, and competitors getting ahead of you, it’s your moment: embrace the stack and make others play catch-up to you.
The fastest and easiest way to do that is by joining our Agent Builder & Agentspace workshop - hands-on, zero-cost.
Build your first AI agent workflow and lead the AI transformation!
See you next time,
Yann