Automate Gmail + PostgreSQL
The inbox most operations still start in. 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.
Inbox Triage is a ready-made agent built around Gmail; point its last step at PostgreSQL to finish this hand-off.
Automations teams run
Unlike field-mapping automation, the step in the middle is an agent: it can summarise, classify, judge and draft, not merely copy values from Gmail into PostgreSQL.
When a new email arrives in Gmail…
…an agent can run parameterised queries in PostgreSQL — after reading the context and deciding it should.
When a label is applied in Gmail…
…an agent can write validated rows in PostgreSQL — after reading the context and deciding it should.
When a thread goes unanswered in Gmail…
…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 send or draft a reply in Gmail — with the reasoning recorded in the run’s receipt.
When a threshold is crossed in PostgreSQL…
…an agent can apply labels and archive in Gmail — with the reasoning recorded in the run’s receipt.
The Gmail and PostgreSQL hand-off, setup template
Start with the gmail-api node and a custom-api call to {host}:5432. Configure the Gmail 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.
{
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"name": "Gmail → PostgreSQL",
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"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": {}
},
{
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"text": "Read Gmail",
"x": 512,
"y": 336,
"isEditing": false,
"type": "gmail-api",
"icon": "connect",
"category": "action",
"isSelected": false,
"parameters": {
"operation": "Search and Read Emails",
"searchQuery": "CONFIGURE_SEARCHQUERY",
"maxResults": 1
},
"description": "Setup template for Gmail API. A powerful tool to send, reply, read, organize, and manage attachments in Gmail. Configure credentials, inputs and output mapping before use.",
"error": null,
"isActive": false,
"output": null,
"outputs": {}
},
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"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 Gmail 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": {}
},
{
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"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": {}
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}Configure Gmail API
A powerful tool to send, reply, read, organize, and manage attachments in Gmail.
- operation — The Gmail operation to perform. Current example:
Search and Read Emails. - searchQuery — Optional. Gmail search query (e.g., 'from:user is:unread'). If blank, fetches latest emails. Current example:
CONFIGURE_SEARCHQUERY. - maxResults — Maximum number of emails to return. 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 Inbox Triage
Inbox Triage is a working agent built around Gmail. 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
What building this looks like
- Get AGNT Community Core. Free, local, no sign-up needed to run a workflow.
- Add both connections to the vault — Gmail 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.
Gmail and PostgreSQL — common questions
Can I connect Gmail to PostgreSQL without writing code?
Yes. Gmail 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 new email arrives, run parameterised queries” — and the agent handles the rest.
How is this different from a field-mapping Gmail to PostgreSQL automation?
Mapping tools move data; this reasons about it. Rather than copying a field into PostgreSQL, the agent can weigh what arrived from Gmail, classify it against criteria you wrote in prose, draft something new, and act only when it is warranted.
Does my Gmail 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: Gmail, PostgreSQL, and your chosen model provider — which can be a local one.
What does a Gmail and PostgreSQL run leave behind?
A receipt: what was read in Gmail, 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.
