Automate Notion + PostgreSQL
The team wiki agents can actually keep current. The production database your reports should come from. Put an agent between them and the hand-off stops being manual: it reads, decides, acts, and shows its work.
Content Producer is a ready-made agent built around Notion; point its last step at PostgreSQL to finish this hand-off.
Automations teams run
These are not field mappings. An agent reads the Notion side, works out what it means, and only then decides what — if anything — should happen in PostgreSQL.
When a page is created or edited in Notion…
…an agent can run parameterised queries in PostgreSQL — after reading the context and deciding it should.
When a database row changes in Notion…
…an agent can write validated rows in PostgreSQL — after reading the context and deciding it should.
When a status flips in Notion…
…an agent can produce report extracts in PostgreSQL — after reading the context and deciding it should.
When a scheduled query runs in PostgreSQL…
…an agent can create and update pages in Notion — with the reasoning recorded in the run’s receipt.
When a threshold is crossed in PostgreSQL…
…an agent can write database rows in Notion — with the reasoning recorded in the run’s receipt.
The Notion and PostgreSQL hand-off, setup template
Start with the notion-api node and a custom-api call to {host}:5432. Configure the Notion source payload, the agent input, and the PostgreSQL operation. The sequential template does not implement conditional writes or approval by itself.
This is a schema-checked starting point, not an end-to-end tested automation. Replace every CONFIGURE_ value, choose the operations you intend, connect credentials and map source outputs into later inputs. An edge orders steps; it does not supply a condition, an approval gate or a field mapping. Add and test those controls explicitly before any write. Cloud APIs and model providers may receive data. Keep the workflow inactive until tested with fixtures.
{
"id": "3bb98610-a176-4697-aea4-116d1e4f834a",
"name": "Notion → PostgreSQL",
"nodes": [
{
"id": "90be1032-3b32-46f0-a846-ac6a09066e64",
"text": "Run on a schedule",
"x": 512,
"y": 144,
"isEditing": false,
"type": "trigger-timer",
"icon": "connect",
"category": "trigger",
"isSelected": false,
"parameters": {
"fireOnStart": "No",
"scheduleType": "Interval",
"schedule": "Every 15 Minutes"
},
"description": "Setup template for Timer Trigger. This trigger node fires the workflow at specified intervals or at a specific time. Configure credentials, inputs and output mapping before use.",
"error": null,
"isActive": false,
"output": null,
"outputs": {}
},
{
"id": "093fa4d6-17ec-4a4f-a8d2-2157104de98a",
"text": "Read Notion",
"x": 512,
"y": 336,
"isEditing": false,
"type": "notion-api",
"icon": "connect",
"category": "action",
"isSelected": false,
"parameters": {
"operation": "search",
"pageSize": 1,
"query": "CONFIGURE_QUERY",
"filterType": "all"
},
"description": "Setup template for Notion API. Interact with Notion - search, query databases, get pages, and create pages. Configure credentials, inputs and output mapping before use.",
"error": null,
"isActive": false,
"output": null,
"outputs": {}
},
{
"id": "b194dacc-8c85-4806-ad88-e852bef30a94",
"text": "Review source and draft",
"x": 512,
"y": 528,
"isEditing": false,
"type": "agnt-agent",
"icon": "connect",
"category": "action",
"isSelected": false,
"parameters": {
"agentId": "CONFIGURE_AGENTID",
"message": "Read the Notion item. Decide whether it warrants action in PostgreSQL, and explain why.\nSource input: CONFIGURE_SOURCE_INPUT. Produce a reviewable draft only; do not take external actions."
},
"description": "Setup template for Agent Chat. Chat with an AI agent from your agent library. Select an agent and send messages to interact with it within your workflow. Configure credentials, inputs and output mapping before use.",
"error": null,
"isActive": false,
"output": null,
"outputs": {}
},
{
"id": "2aaeea38-ad23-44ea-aabe-1c44b55f58d0",
"text": "Call PostgreSQL",
"x": 512,
"y": 720,
"isEditing": false,
"type": "custom-api",
"icon": "connect",
"category": "action",
"isSelected": false,
"parameters": {
"url": "postgresql://{user}:{password}@{host}:5432/{database}",
"method": "GET",
"authType": "None",
"query": "",
"headers": "{}"
},
"description": "Setup template for Custom API Request. This action node makes a custom API request to any endpoint with configurable method, headers, and authentication. Configure credentials, inputs and output mapping before use.",
"error": null,
"isActive": false,
"output": null,
"outputs": {}
}
],
"edges": [
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"id": "7f807c25-f71d-4233-a6c5-312ef05c19ba",
"start": {
"id": "90be1032-3b32-46f0-a846-ac6a09066e64",
"type": "output"
},
"end": {
"id": "093fa4d6-17ec-4a4f-a8d2-2157104de98a",
"type": "input"
},
"startX": 800,
"startY": 168,
"endX": 512,
"endY": 360
},
{
"id": "04815800-be50-4a7b-a944-dfa11999d79e",
"start": {
"id": "093fa4d6-17ec-4a4f-a8d2-2157104de98a",
"type": "output"
},
"end": {
"id": "b194dacc-8c85-4806-ad88-e852bef30a94",
"type": "input"
},
"startX": 800,
"startY": 360,
"endX": 512,
"endY": 552
},
{
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"type": "output"
},
"end": {
"id": "2aaeea38-ad23-44ea-aabe-1c44b55f58d0",
"type": "input"
},
"startX": 800,
"startY": 552,
"endX": 512,
"endY": 744
}
],
"zoomLevel": 1,
"canvasOffsetX": 0,
"canvasOffsetY": 0,
"isTinyNodeMode": false
}
Configure Notion API
Interact with Notion - search, query databases, get pages, and create pages.
- operation — Operation to perform Current example:
search. - query — Search query text Current example:
CONFIGURE_QUERY. - filterType — Filter results by type Current example:
all. - pageSize — Max results (default: 10-100) Current example:
1.
Configure Custom API Request
This action node makes a custom API request to any endpoint with configurable method, headers, and authentication.
- url — The URL of the API endpoint Current example:
postgresql://{user}:{password}@{host}:5432/{database}. - method — The HTTP method for the request Current example:
GET. - authType — The type of authentication Current example:
None. - query — Query parameters for the request (e.g., 'key1=value1&key2=value2') Current example:
. - headers — Optional headers for the request. e.g., {"Content-Type": "application/json"} Current example:
{}.
Install Content Producer
Content Producer is a working agent built around Notion. Install it, point its last step at PostgreSQL, and you have this hand-off without building it from an empty canvas.
Runs on your own machine · See what it does
Build it in AGNT
- Get AGNT Community Core. Free, local, no sign-up needed to run a workflow.
- Add both connections to the vault — Notion takes one OAuth sign-in, PostgreSQL takes a local endpoint on your own machine.
- Configure the nodes above, or start from a marketplace workflow and edit it. The agent in the middle is the part worth spending time on.
- Run it once with an approval gate in place. The receipt tells you what it read, what it concluded, and what it changed in PostgreSQL.
Notion and PostgreSQL — common questions
Can I connect Notion to PostgreSQL without writing code?
Yes. Notion connects with one OAuth sign-in and PostgreSQL with a local endpoint on your own machine, both from the local credential vault. You then describe the job in plain language — “when a page is created or edited, run parameterised queries” — and the agent handles the rest.
How is this different from a field-mapping Notion to PostgreSQL automation?
A field mapping copies values and breaks on the first record nobody anticipated. The middle step here reads the Notion item in full and decides — whether it matters, how to summarise it, and what belongs in PostgreSQL. Deciding to do nothing is a valid outcome, which no mapping can express.
Does my Notion and PostgreSQL data leave my machine?
Your credentials stay in a vault on your own disk rather than in someone else’s cloud. The only calls made are the ones the workflow needs: Notion, PostgreSQL, and your chosen model provider — which can be a local one.
What does a Notion and PostgreSQL run leave behind?
A receipt: what was read in Notion, which tools ran with which arguments, what the agent concluded, and what it wrote to PostgreSQL. Anything consequential can sit behind an approval gate so a person signs off before it happens.