How to query your database in plain English (without writing SQL)

Most developers I talk to have the same problem.

Their database has the answers. Their team doesn't have the time to write queries.

The product manager asks: "What's churn this month?" Engineering groans. A ticket gets created. Someone writes SQL three days later. The number is already stale.

Here's what that workflow looks like with MCP.

The setup (takes 4 minutes)

1. Connect your database — PostgreSQL, MySQL, or SQL Server. Conexor maps your schema automatically. No manual annotation required.
2. Add the MCP server to your AI tool — Claude Desktop, Cursor, n8n, or any MCP client. Copy one URL.
3. Ask in plain English — "Show me all customers who signed up last month and haven't logged in since." Conexor translates it to SQL, runs it, returns structured results.

That's it.

What actually happens under the hood

When you ask a question, Conexor:

• Identifies which tables and columns are relevant (schema discovery)
• Generates parameterized SQL — no injection risk
• Executes against your live database
• Returns results the AI can reason about

No data is stored. No model is trained on your data. Queries run in your environment.

What this looks like in practice

Before: PM asks → ticket → SQL query → CSV → copy-paste into slide → 3 days later.

After: PM asks directly → answer in 8 seconds.

We had a customer reduce their weekly reporting time by 4 hours. Not because they automated a report — but because they stopped creating the ticket in the first place.

Who this is for

• Engineering teams using Claude or Cursor who want their AI to actually know their data
• Data teams tired of writing the same queries over and over
• SaaS founders who want non-technical stakeholders to stop guessing

Try it

14-day free trial, no credit card. Connect your first database in under 5 minutes at conexor.io.

Conexor is MCP infrastructure for AI-ready teams. Connect your databases to Claude, ChatGPT, Cursor, and any MCP client.