By Arsalan Khan
AI agents are exploding across the enterprise. Every company is talking about autonomy, automation, and AI-driven operations.
And right on cue, every vendor is claiming they’re “AI-ready.”
Their solution? MCP servers.
Let’s be honest: exposing your system through an MCP endpoint does not make your platform intelligent. It just makes your data easier to access and manipulate.
If we actually want infrastructure that works in an AI-driven world, we need to stop pretending that better access to data equals intelligence. It doesn’t.
What we need are systems that can think about their own state, not just expose it.
MCP servers are being positioned as the next step beyond APIs. They provide a cleaner, more standardized way for AI agents to connect to systems and retrieve information.
That’s accurate, and that’s useful.
But let’s not confuse convenience with capability.
MCP servers are still just data pipes. They return information when asked. That’s it.
There is no understanding. No reasoning. No judgment.
All of that responsibility is pushed onto the agent:
We’ve essentially wrapped the API problem in a nicer interface while expecting agents to do all the hard work.
That’s not progress. That’s outsourcing complexity.
Look across the networking space today.
Every infrastructure vendor, whether in deployment, operations, or design, is building MCP servers and calling it innovation.
It’s not.
What they’re really doing is shifting the burden onto the enterprise.
Now your enterprise agents need to understand:
Instead of simplifying the ecosystem, we’re making enterprise agents responsible for becoming experts in every vendor’s product.
That’s not scalable. And it’s not realistic.
We’ve replaced one kind of complexity with another and called it “AI-ready.”
If AI is going to work at scale, this model breaks down fast.
Enterprise agents should not be responsible for deeply understanding every system they interact with. That’s an impossible expectation.
The intelligence needs to live where the knowledge already exists: inside the infrastructure itself.
Vendors should be building native agents; agents that are true subject matter experts in their own systems.
Let’s make this concrete.
If a Zoom call degrades, why should an enterprise agent:
That doesn’t make any sense.
Instead, it should ask:
"Is the network causing this Zoom issue?"
A network-native agent should:
And then respond with a clear answer.
That’s intelligence.
As enterprise agents become more autonomous, they need to understand why things fail. When a workflow breaks or performance drops, they must quickly determine whether infrastructure is the root cause and what to do about it.
That only works if the infrastructure can reason about itself.
We need to stop confusing access to data with intelligence.
MCP servers are not the future of intelligent infrastructure. They are just a cleaner version of APIs.
Calling them “AI-ready” is misleading.
If we want real progress, vendors need to stop building better pipes and start building smarter systems.
That means creating native infrastructure agents—agents that understand their environment, act as experts, and collaborate with other agents.
The future is not agents talking to dumb MCP servers.
The future is intelligent agents interacting with other intelligent agents—embedded directly within the infrastructure itself.
Anything less is just repackaging the past.
Resources
.png)
.png)
