Amazon Aurora and RDS for MySQL uses GateRook’s MySQL connector. With a database user and password. For full verification, paste the Amazon RDS CA bundle.
The screenshots show GateRook 2.0.0: the Amazon Aurora and RDS for MySQL 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 Amazon Aurora and RDS for MySQL, choose its card and select Continue to configure.
Copy the MySQL endpoint and port for your RDS instance or Aurora cluster. Ensure your computer can reach it through the configured VPC and security group.
Use a dedicated database user with access to the tables you want the AI to read. Enter its password in GateRook; do not paste it into an AI chat.
Enter a Name, for example aws-rds-mysql-demo. Your AI app uses this name to choose the connection.
Choose Amazon Aurora and RDS for MySQL. Enter a Name, the endpoint DNS name in Host, its Port, and database User and Password.
Set SSL mode to verify-full and paste the applicable Amazon RDS CA bundle into CA certificate (PEM). Use the endpoint’s hostname for certificate matching.
Select Load databases and choose the databases your AI should access. Use Database allowlist if you need a narrower boundary within that selection.
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 the connection times out, check the private route and security group. If a write is refused later, check whether you selected a reader endpoint or a database account with read-only permissions.
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 Amazon Aurora and RDS for MySQL on the endpoint and passing its connection test, ask your AI app to use aws-rds-mysql-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 tables on my RDS MySQL connection.”
- “Describe the indexes of the Aurora MySQL table I select.”
- “Summarize orders by status in my selected MySQL database.”
| Tool | What it does | Starts as |
|---|---|---|
sql_list_schemas | List tables and views in the selected MySQL-compatible 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 MySQL-compatible read statement in a read-only transaction, then roll it back. Function allowlists, database permissions and output limits apply. | Read only |
sql_execute | Run one supported data or schema change with Approval by default. Database permissions and the environment policy apply; schema changes can commit implicitly. | Approval |
You can change each tool’s mode on the endpoint. Every call your AI makes appears in Activity.