Connect PostgreSQL to any AI.

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.

PostgreSQL connects to FrontierOps once, and any AI your team uses, such as Claude, ChatGPT, Grok or Perplexity, reaches it through that connection.
  1. PostgreSQL Data & warehouses
  2. FrontierOps Permissions, definitions, record
  3. Any AI The AI your team uses
Examples

Ask in any language. Answered from PostgreSQL.

What it can do

What the AI can read in PostgreSQL, and what it can do.

It can read

Read-only by default
  • Any table or view you approve, through SELECT, WITH and EXPLAIN queries inside a read-only transaction
  • No schema probing: information_schema, pg_catalog, pg_stat views and SHOW are blocked
  • Functions that change state, wait, or reach other servers or files (dblink, set_config, advisory locks) are refused
  • One statement per call, results capped by row count and size, with a query timeout

It can do, if you allow it

Needs write access
  • Insert rows into an approved table
  • Update rows in an approved table, with a WHERE clause
  • Delete rows from an approved table, with a WHERE clause
  • Upsert: create a row, or update it if it already exists

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.

Why connect it

How the PostgreSQL integration works.

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.

Questions

What people ask about connecting PostgreSQL.

Does it work with Supabase?

Yes. A Supabase project connects as a PostgreSQL database, with the same read-only queries, approved tables and guarded writes.

How are writes kept safe?

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.

Can the AI see every table in the database?

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.

Is this a PostgreSQL MCP server?

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.

Why not connect PostgreSQL to Claude or ChatGPT directly?

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.

Works well with

One connection each. One set of rules across all of them.

See every integration

Bring one question about PostgreSQL. We’ll connect it with you.