PostgreSQL integration | Zervanor
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PostgreSQL

Also an agent tool
data-analytics

Read and write any PostgreSQL database - self-hosted apps, cloud databases, and internal systems that expose no API.

3 actions · 1 triggers

The PostgreSQL integration lets you connect PostgreSQL to your automations with 3 actions and 1 triggers — and every action is also a tool an AI agent can call. Examples: List Recent Rows, Find By Key, Insert Record. No blank-canvas wiring — connect it and use it in your workflows.

Every action below is also a tool an AI agent can call — the same pack powers your workflows and your agents.

Triggers 1

Events in PostgreSQL that can start a workflow.

webhook

New Row (polling)

Fires for each row added since the last check. Baselines on enable, so existing history does not fire.

Actions 3

What Zervanor can do in PostgreSQL.

List Recent Rows

Read the newest rows.

Find By Key

Look one record up by its key - the read half of a duplicate check.

Insert Record

Write one record back.

Automations using PostgreSQL

Build your own automation with PostgreSQL in the visual builder.

Frequently asked questions

What can I automate with PostgreSQL?

3 actions are available — for example: List Recent Rows, Find By Key, Insert Record.

Which PostgreSQL events can start a workflow?

1 triggers — for example: New Row (polling).

Can PostgreSQL be used as an AI agent tool?

Yes. Every PostgreSQL action automatically becomes a tool an AI agent can call — the same pack powers both your workflows and your agents.

How is the PostgreSQL integration modelled?

PostgreSQL is modelled as a versioned connector pack, and the steps that need reasoning fall to first-party agents hosted in the same runtime as the workflows.