Ask Claude or ChatGPT about the data in your Postgres database, read-only by default, with guarded writes for the roles you choose.
Read from PostgreSQL when someone asks. Nothing exported, nothing copied, and changes only where you allow them.
How many new signups did we get each day last week, and how many finished onboarding?
Which customers have an unpaid invoice older than 60 days?
Change the shipping address on order 4821 to the one in this email.
Four separate permissions, never on the User role. Each statement commits on its own, schema changes are refused, and changing every row in a table takes an explicit override. Every write is on record.
Already on dbt? We import the project (dbt Core is enough), and its definitions guide every answer from PostgreSQL.
Your product data lives in Postgres, and the people who need it most usually cannot write SQL. Connected once, anyone can ask in plain English, limited to the tables you approve for them. Every query runs read-only, and if you want the AI to fix a record or add a row, writes are separate permissions the User role never gets.
An admin connects PostgreSQL one time. Nobody hands over a personal login.
Each answer is read at the moment of the question. Nothing is exported or copied, so there is nothing to keep in sync.
What each role can see and do holds in every AI your team uses, and in your own agents.
Every question and every action, by every person and agent, in one audit trail.
Yes. A Supabase project connects as a PostgreSQL database, with the same read-only queries, approved tables and guarded writes.
Insert, update, delete and upsert are separate permissions, off for the User role. Each call is one statement on an approved table, committed on its own, and update and delete need a WHERE clause. Connect with a database user that can write only the tables you intend, and Postgres enforces the rest.
No. It sees the tables you approve, named by schema and table, and each team can get its own set. Reaching into another schema, or reading the system catalog, is refused before the query runs.
Yes, and one built for a whole company. FrontierOps gives Claude, ChatGPT and any other MCP client one connection to PostgreSQL, set up once by an admin. What each role can read or change is decided in FrontierOps, and every call is on record, instead of each person running their own server with their own login.
A direct connection links one AI to PostgreSQL through one person’s login, with that person’s settings. That works for one person. For a team it means no shared definitions, no single place to decide who can see or change what, and starting over when you switch AI. Through FrontierOps, PostgreSQL is connected once, for every AI and every agent, under one set of permissions, with every call on record.