A PostgreSQL MCP server can make database access feel almost magical.

Ask a question in Claude, ChatGPT, Cursor, or another MCP client, and the agent can work with live data instead of waiting for a ticket, dashboard, or manual SQL handoff.

That is useful.

It is also risky if the MCP server is treated as “just a connector.”

Before connecting AI clients to PostgreSQL through MCP, I would want at least this checklist in place.

1. Read-only by default

Not “the prompt says don’t write.”

Actual database-level read-only permissions.

Use a dedicated PostgreSQL role for the MCP server and grant access only to the schemas, views, and functions the workflow needs.

2. Approved views over raw tables

Raw production tables usually expose more detail than the workflow needs.

Approved views can:

hide sensitive columns

pre-join common entities

expose stable business definitions

reduce schema noise

make permissions easier to review

3.…