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PostgreSQL-compatible · Integration guide

How to connect Cloud SQL for PostgreSQL to any AI IDE (Claude/Codex/Cursor/VS Code/Antigravity)

Before you start, install GateRook and connect it to your AI development environment: Claude Desktop, Codex, Cursor, Antigravity or VS Code.

Connect your AI app

Cloud SQL for PostgreSQL uses GateRook’s PostgreSQL connector. With a database user and password, through the instance's IP and server CA certificate, or the Cloud SQL Auth Proxy on this computer.

The screenshots show GateRook 2.0.0: the Cloud SQL for PostgreSQL form, the endpoint selector, and this connector’s actual tool preview. The form and preview have not been saved. Select a screenshot to open it at full size.

1. Create a connection and enter the settings

In GateRook, open Connections, select Add connection, search for Cloud SQL for PostgreSQL, choose its card and select Continue to configure.

Have a Cloud SQL PostgreSQL database user and password ready. Choose a direct network path to the instance or run the Cloud SQL Auth Proxy on this computer.

The proxy authenticates to Google Cloud separately from the database login. Keep its listener on loopback and leave it running while GateRook uses the connection.

Enter a Name, for example cloud-sql-postgresql-demo. Your AI app uses this name to choose the connection.

Choose Cloud SQL for PostgreSQL. Enter a Name, the instance Host and Port, and database User and Password. For a local Auth Proxy, use 127.0.0.1 and the port that proxy listens on.

For direct TLS access, configure SSL mode and CA certificate (PEM) to match the instance’s certificate policy. For a loopback Auth Proxy, Auto can use its local connection while the proxy encrypts the remote connection.

Select Load databases, then choose only the databases this connection should expose. If loading fails because the account cannot connect to postgres, set Discovery database to a database it can access and try again.

Choose Development, Staging or Production to match the service. Review the connector’s limit and access settings before continuing.

GateRook 2.0.0 Configure Cloud SQL for PostgreSQL form before saving.
The Cloud SQL for PostgreSQL configuration form. Enter your own connection settings before testing.

2. Test the connection and add it to an endpoint

Select Continue to test. GateRook checks the settings from your computer. Review the result and resolve any connection, certificate or permission error before continuing.

If a proxy connection fails, check that the proxy is running and can authenticate to Google Cloud, then check the separate database credentials. Private IP connections still require network reachability.

After the test passes, select Continue to add to an endpoint. Choose the endpoint your AI app uses, review its tool modes, then select Save connection. GateRook offers default as the starter endpoint.

GateRook endpoint selector with default selected; no connector tool list is shown.
Choose the endpoint your AI app uses. This selector is shared across connector types; the next screenshot shows this connector’s own tools.

3. Use the connection from your AI IDE

After saving Cloud SQL for PostgreSQL on the endpoint and passing its connection test, ask your AI app to use cloud-sql-postgresql-demo, or the name you chose. If its tools are missing, confirm the endpoint assignment and refresh the MCP connection or start a new chat.

The preview below shows this connector’s default tools before saving. The table explains what each tool can do; connection settings, credentials and endpoint policies can restrict access further.

Cloud SQL for PostgreSQL connector tool names and default modes in the GateRook 2.0.0 endpoint preview.
Cloud SQL for PostgreSQL tools in the Development endpoint preview. This is an unsaved preview, not a successful service call.

Start with a small read request. Replace example resource names with existing resources your connection may access. Open Activity after the call to inspect its connection, tool, arguments, policy decision and result metadata.

Ask your AI, for example

  • “List the tables in my Cloud SQL PostgreSQL database.”
  • “Describe the selected Cloud SQL PostgreSQL table.”
  • “Show the most recent ten records from the table I select in Cloud SQL.”
Tools your AI gets
ToolWhat it doesStarts as
sql_list_schemasList schemas, tables and views in the selected PostgreSQL database, within the connection and policy restrictions.Read only
sql_describe_tableDescribe a table’s columns, types, keys and indexes where available.Read only
sql_queryRun one validated PostgreSQL read statement in a read-only transaction, then roll it back. Function allowlists, database permissions and output limits apply.Read only
sql_executeRun supported data or schema changes with Approval by default. Database permissions and the environment policy determine which changes are allowed.Approval

You can change each tool’s mode on the endpoint. Every call your AI makes appears in Activity.

Service documentation

Keep exploring

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Neon

Connect Neon to Claude, Codex, Cursor, VS Code or Antigravity with GateRook. Follow setup, connection testing and tool access with screenshots.

Browse all integration guides

Your local MCP gateway and firewall.

Connect Cloud SQL for PostgreSQL to your AI IDE.

Choose a connector. Start with read-only access. Approve changes and inspect the audit trail.

Read the getting started guide

Get GateRook

Download GateRook 2.0.0 for your Mac, or get the Windows app from Microsoft Store.

macOS

Version 2.0.0 for Apple Silicon (arm64). This download does not support Intel Macs.

Open the DMG and drag GateRook to Applications.

Windows

Available for free from Microsoft Store. Install GateRook and receive updates through the Store.

macOS release notes and checksums (opens in a new tab)