Every IT manager knows this meeting.
The exec asks: "How many devices haven't been patched in the last 30 days?"
You say: "I'll get back to you on that."
Then you spend 45 minutes pulling data from three different systems, writing a query you have to look up from last time, formatting it into something readable, and sending a Slack message that arrives after the meeting is over.
That cycle is the norm. It doesn't have to be.
Why this keeps happening
It's not that the data doesn't exist. It's in your database, your RMM, your ITSM.
The problem is the gap between the question and the answer.
Most people who ask data questions can't query a database. Most people who can query a database are busy with actual engineering work. So every question becomes a ticket, a delay, a context switch.
What changes with MCP
Model Context Protocol lets AI models connect directly to your data sources. Instead of writing a query, you ask a question.
Connected to your device database:
"How many devices haven't checked in for more than 30 days?"
Answer: 47 devices — with a breakdown by location and OS.
"Which ones are running Windows 10?"
"Which of those have active support contracts?"
The conversation continues. No SQL. No ticket. No waiting.
The setup
We built Conexor.io to make this work without custom code or infrastructure. Connect your database (PostgreSQL, MySQL, SQL Server, REST API), point your AI client at the MCP endpoint, and start asking questions.
14-day free trial. Setup takes about 5 minutes.
The data has always been there. The bottleneck was the layer between the question and the answer.
That layer is now optional.
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