That’s right. Without access to your data, a Large Language Model is just an eloquent guesser with no real agency. It can’t send an email. It can’t create or file a report. It can’t perform a single useful function inside your enterprise without access to the context that matters.
This powerlessness is especially obvious in enterprise IT environments, where data access is rightly restricted due to compliance, governance, and security requirements. Even if I had a solution, it would have to be delivered as SaaS, hosted in my cloud—not yours. And that’s a nonstarter in regulated industries.
And don’t even get me started on the cost of building and maintaining secure API connections to every data silo. The ROI vanishes faster than your patience during procurement meetings.
So what’s the answer?
It’s called the Model Context Protocol (MCP). It’s an open-source standard, with over 1,000 deployable context servers, all designed to run within your firewall.
Each server is smarter than a basic API—offering context-specific queries for your data sources. With MCP, you let AI decide where to find the information based on context, not static rules. Now, your LLM can finally do something useful.
Ever tried installing an MCP server? Want help?
I’d love to show you.