MCP, LMOS & Co. – The Next Evolution of AI
Ever get that feeling you’re on the brink of something huge, but can’t quite see how it all fits together? That’s exactly where we are with AI Agents, context-based protocols, and what some call the “Internet of Agents” (IoA).
In recent weeks, one term has popped up more and more — on Twitter, on LinkedIn, at tech conferences, and in expert articles: MCP – the Model Context Protocol.
Coined by Anthropic, but what does it really mean?
What is MCP – and Why the Fuss?
For decades, we’ve built everything around APIs: you specify what data you want, you code it, you document it—done. It’s been rigid and manual, but it worked well enough for developers who knew exactly where to look.
It worked, for sure, but with AI agents, the logic flips:
Now the system needs to understand what’s meant—and figure out how to get it done. We want systems to talk to each other without a human pulling every lever. We want them to interpret context, adapt, even problem-solve. That’s where MCP (Model Context Protocol) comes in.
The Rise of Agent Systems
MCP, LMOS and similar frameworks are not just technical standards.
They are the foundations of a new architectural paradigm: context-first. agent-enabled. intent-driven.
A user no longer sends an API call like “GET /flights?from=NYC”. Instead, we say:
“I need a direct flight from New York to Istanbul for two adults and two kids, not before 10am, sometime from August 3rd to 21st.”
The system doesn’t just return data. It provides recommendations, alternatives, next steps—even problem-solving.
This isn’t a futuristic guess—it’s the emerging reality of autonomous, AI-powered digital agents. This is not futuristic speculation.
MCP, LMOS & Co. – A New OS for the Agent World
Anthrophic calls MCP the “USB-C port of the AI world” — a universal connector that allows intelligent systems to collaborate, understand each other, and take action.
The Eclipse Foundation is working on LMOS — the Large Model Operating System.
Meta, Google, OpenAI, Perplexity—they’re all building toward the same goal:
An open agent protocol for system-to-system collaboration.
On March 27, 2025, Sam Altman announced on X (formerly Twitter) that OpenAI has implemented MCP support in their OpenAI’s Agents SDK. ChatGPT’s desktop app and the Responses API will soon follow. Less than a weeks earlier, on March 19, Microsoft confirmed MCP support in Copilot Studio. In other words, two of the biggest names in AI are now racing to standardize around the Model Context Protocol – and each step cements MCP’s relevance as an emerging industry standard.
The result? A possible “Internet of Agents (IoA).”
An ecosystem where systems no longer exchange data—they exchange intentions and actions.
And these are just two examples. In reality, every major AI player is experimenting with context-oriented protocols and agent frameworks—an undeniable signal that this shift is happening right now.
The takeaway? AI isn’t just hype. The scramble to adopt MCP proves that agent-based architectures are no longer futuristic—they’re hitting the mainstream, fast.
Why This Matters for Business
Until now, every interface was basically a dead end. You had to know which app, which form, which API to use. AI Agents break down those walls. Now imagine this:
- Lufthansa exposes a travel booking agent
- Four Seasons offers a hotel reservation agent
- Michelin shares a fine dining recommendation agent
Your own personal travel agent (or finance agent, or HR agent) orchestrates all of them behind the scenes. No more toggling, no more manual data entry. It’s frictionless if you do it right.
If that doesn’t get your attention as a CxO, I don’t know what will.
This is not science fiction. This is the emerging interface economy.
What’s Changing
- Interfaces once coded are now interpreted
- Digital access evolves from functional to contextual
- Products go from clickable to conversational
- Competition leaps from feature-rich to context-aware
This is not a Trend. This is a Transformation.
MCP, LMOS & Co are not buzzwords.
They are answers to real, recognized challenges in enterprise architecture.
The world is becoming agent-ready—whether we’re ready or not.
The implications?
- Orchestrate Human-AI Synergy: The new IT leadership mandate is fostering seamless collaboration between humans and intelligent agents – mastering context, governance, and evolving architectures for a co-intelligent enterprise.
- Demand Context-Aware Experiences: Static APIs will become relics. The future demands intent-driven systems from vendors and platforms, prioritizing intuitive, context-rich interactions that truly understand user needs. User experience will no longer be defined by attractive UIs, but by intelligent and seamless contextual awareness.
- Compete on Embedded Intelligence: Forget feature wars. Sustainable competitive advantage will be built on the depth of core AI – its ability to understand context, adapt dynamically, and deliver frictionless value through intelligent agent collaboration.
The Bottom Line
It doesn’t matter whether MCP, LMOS, or some yet-unknown protocol becomes the standard.
What matters is that we’re entering the next evolution of how digital systems interact—with us and with each other.
Agents are real. And they’re starting to talk.
Now is the time to rethink architectures, redefine UX, and redesign how your business connects — with customers, partners, and AI itself.
