TimescaleDB uses GateRook’s PostgreSQL connector. TimescaleDB and Tiger Cloud: hypertables read as tables and continuous aggregates as views.
The screenshots show GateRook 2.0.0: the TimescaleDB 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 TimescaleDB, choose its card and select Continue to configure.
For Tiger Cloud, open your service’s connection details and copy its hostname, port and database name. For self-hosted TimescaleDB, get these values from your administrator.
Use a database account and password, not Tiger Cloud API client credentials. Hypertables and continuous aggregate views use the PostgreSQL connection.
Enter a Name, for example timescale-demo. Your AI app uses this name to choose the connection.
Choose TimescaleDB. Enter a Name, the actual service Host and Port, and the database User and Password; a managed service may use a port other than 5432.
Use verify-full in SSL mode for a TLS-enabled remote service and supply CA certificate (PEM) when its issuer is not already trusted.
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.
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 time-series function is refused, review Functions reads may call and add only functions you have verified are read-only. Reading an existing aggregate view does not refresh or modify it.
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.
3. Use the connection from your AI IDE
After saving TimescaleDB on the endpoint and passing its connection test, ask your AI app to use timescale-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.
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 time-series tables and views on my TimescaleDB connection.”
- “Using ordinary SQL, count events by hour for the last 24 hours.”
- “Read the latest ten rows from the continuous aggregate view I select.”
| Tool | What it does | Starts as |
|---|---|---|
sql_list_schemas | List schemas, tables and views in the selected PostgreSQL database, within the connection and policy restrictions. | Read only |
sql_describe_table | Describe a table’s columns, types, keys and indexes where available. | Read only |
sql_query | Run 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_execute | Run 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.