Connect PostgreSQL to your AI assistant
One page, straight answers: whether PostgreSQL can be connected today, which databases & data tools you would get, and what keeps writes safe.
Every system here gets an honest, affirmative path: verified and instant, buildable and provisioned, human-assisted, or a done-for-you conversation. Zero dead ends.
Where PostgreSQL stands today
Tables, schemas, and query results: data questions answered against the real database, read-scoped by default.
Also searched as postgres, pgsql, postgre sql. The vendor's developer documentation lives at www.postgresql.org.
What a PostgreSQL connector would expose
The proposal you review during intake, separated into Read and Write. Nothing writes without asking you first.
Extracted from the vendor's API docs and human-reviewed before going live. Writes start one notch stricter.
- run_query
Run a read-only query against approved tables or views
- get_table_schema
Read column names and types for a table
- list_tables
List tables and views available to the connection
- get_row
Fetch one row by primary key
- insert_rowconfirm
Insert a row into an approved table
fields: table, values
- update_rowconfirm
Update columns on a row matched by primary key
fields: table, values
- upsert_rowconfirm
Insert or update a row by key
fields: table, values
- delete_rowdestructivedry-run
Delete a row by primary key
fields: table, id
Every write asks first: it pauses on a preview of the exact change and runs only when you approve it, before anything reaches PostgreSQL. Turn off anything you never want your AI to touch.
From "PostgreSQL" to a working connector URL
Designed for operators, not developers. You never read API docs, manage tokens, or touch a line of code.
- 01
Name it
A 30-second eligibility check confirms your AI client accepts a custom connector URL, then you pick the software. This page pre-fills that step.
- 02
Describe what you need
Plain language, not configuration. What should the assistant be able to look up, and what should it be able to change?
- 03
Review your Connector Blueprint
The exact Read and Write tool list, before you pay anything. Every write ships on in confirm mode and asks before it runs, every tool is individually toggled, and anything destructive carries a distinct warning.
- 04
Deploy and paste the URL
You get a hosted connector URL plus paste-in instructions matched to your AI client, and a live test panel that confirms the connection.
PostgreSQL runs as a one-account connector
PostgreSQL supports a single credential, so the connector runs in Solo mode: it acts as one account and says so in plain language at auth time and in the dashboard. megamcp's own activity log still separates who did what by connection token.
PostgreSQL uses an auth scheme outside the common patterns, which is part of why setup is assisted: a person maps it correctly before anything goes live.
Write access to PostgreSQL your IT team will approve
Write safety is the default, not an upgrade. Writes work out of the box in confirm mode, every change is previewed before you approve it, and destructive operations ship in dry-run.
Confirm mode
Enabled writes run through Multi Round-Trip Requests: the tool pauses, shows a human-readable preview of the exact change, and only proceeds with approval. Nothing reaches PostgreSQL on the model's intent alone.
Guardrails
Any tool can be turned off. Field-level constraints restrict what can be touched, per-tool rate limits are enforced at the gateway edge, and destructive operations ship in dry-run, demonstrating what they would do until you graduate them.
Activity log
Every tool call is logged: who, what, when, result. Write actions and confirmations are highlighted, redaction controls decide how much argument data is stored, and the log is append-only, with updates and deletes refused by the database.
Connecting PostgreSQL: the specifics
Can my AI assistant write to PostgreSQL?
Yes, once the assisted setup is done. The PostgreSQL API needs a person in the loop to map correctly; after that, writes follow the same rules as every megamcp connector: every write asks first and runs only when you approve it, and any tool can be turned off.
Is it safe to connect PostgreSQL to an AI assistant?
Safety is the architecture, not a setting. Every write asks first: it pauses on a human confirmation with the exact change previewed before it reaches PostgreSQL. Destructive operations demonstrate in dry-run and never execute until you graduate them, any tool can be turned off, and every call lands in an activity log with redaction controls.
If my team uses a PostgreSQL connector, whose name is on the actions?
PostgreSQL supports a single credential, so the connector runs in Solo mode and discloses it plainly: the connector acts as one account, stated at auth time and in the dashboard. megamcp's own activity log still preserves per-connection traceability, because every connection has its own token.
Which AI clients work with a PostgreSQL connector?
Any client that accepts a remote MCP connector URL: Claude (Free, Pro, Max, Team, and Enterprise), ChatGPT on paid plans with developer mode enabled, Cursor, and other MCP-compatible clients. Team and Enterprise workspaces may need an admin to allow custom connectors first.
How long until a PostgreSQL connector is live?
It depends on what the assisted setup involves, and you see honest timing the whole way: intake shows a build-queue position instead of a vague promise.
Anything specific to the PostgreSQL API worth knowing?
Yes. From our index notes on PostgreSQL: Direct database connection (connection string), assisted setup.
More Databases & Data systems
Same category, same connector quality. Every one gets an honest verdict.
See all Databases & Data connectors or browse the full directory.
Connect PostgreSQL. We take it from there.
Start a 14-day free trial, no card: live reads plus 3 supervised writes, each executed only after you approve it.