AI Integration

Ask Your AI Whether Your SQL Server Databases Are in Sync

Most companies are pushing their teams to use AI, but for most people that still means drafting emails, summarizing meetings, and tidying up reports. Useful, but it's housekeeping. The work developers and DBAs actually spend their days on, keeping development, test, and production databases consistent, has mostly stayed out of AI's reach.

SQL Server Comparison Tool 6.0 changes that. It adds an AI Agent Integration: Claude and other AI assistants can now ask SCT to compare your SQL Server databases, and then explain the results to you in plain English. As far as we know, SCT is among the first SQL Server comparison tools to offer this.

1-minute demo: Claude asks SCT to compare two databases (waiting time sped up). Watch on YouTube →

What it looks like in practice

Instead of opening SCT, picking a comparison, and reading through the report, you type a question into Claude Desktop:

"Are my Northwind and Southwind databases in sync?"

Claude checks which comparisons you've saved in SCT, picks the one that matches, and asks SCT to run it. SCT does the actual work, the same comparison engine SCT customers have relied on since 1999, and hands back structured results. Claude then answers like a colleague would:

From there you can keep the conversation going: ask it to run the data comparison as well, or to focus on one table. You never have to remember which report shows what.

How it works

The integration is built on the Model Context Protocol (MCP), an open standard that lets AI assistants use tools running on your own computer. SCT 6.0 installs a small MCP server alongside the program. It gives the AI exactly two abilities: list your saved comparisons and run one of them.

Youask a question in plain English
→
Claudedecides which saved comparison to run
→
SCTruns the comparison on your machine
→
Claudeexplains the differences to you

Everything SCT does still happens locally, using the connection settings you already saved in SCT. The AI only sees the comparison results that SCT sends back.

Read-only by design

Connecting an AI agent to production databases is exactly the kind of idea that should make a DBA nervous. We designed the integration so that it can't cause damage, even if the AI misunderstands a request:

What the AI can't do

  • It can't change your databases. Nothing in the integration writes to SQL Server. SCT only reads what it needs to compare.
  • It can't choose which servers to connect to. It can only run comparisons you created and saved in SCT yourself.
  • It never sees your credentials. Connection details stay in SCT on your computer, with passwords stored encrypted.
  • It doesn't see your data. Data comparisons report counts of differing and missing rows, never the row contents.

When you decide to fix the differences, you do it the way you always have: generate the update script in SCT, review it, and run it yourself. The AI helps you understand what's different; the decision and the deployment stay with you.

Where this helps most

Getting started

  1. Install SCT 6.0. New users can download the free 30-day trial. Existing customers: license keys for SCT 5.1 also work with version 6.0.
  2. Save a comparison in SCT for the two databases you want to check, if you haven't already.
  3. Connect SCT to Claude Desktop. The step-by-step setup guide (AI-Integration-Setup.html) is included with the SCT installer.
  4. Ask your question. Start with "Which comparisons do I have saved?" or go straight to "Are my databases in sync?"

We've tested the integration with Claude Desktop. Because it uses the open MCP standard, other AI assistants that support MCP can connect to it as well.

The bottom line

SCT has always been about answering one question quickly and reliably: what's different between these two databases? Version 6.0 lets you ask that question the way you'd ask a colleague, while keeping every change in your own hands. It's a small step toward AI that helps with the real work of database development, not just the paperwork around it.

Try the AI Agent Integration on your own databases.