Database Connector FAQs

Question 1

Can Database Connector be integrated with various AI assistant platforms?

Accepted Answer

Yes, it is designed for flexible integration. It can be run locally via a command-line interface or deployed as a remote SSE service, allowing AI assistants like Claude Code/Desktop to connect and leverage its capabilities securely.

Question 2

What level of control does Database Connector offer over permissions and SQL queries?

Accepted Answer

It provides extensive control through three permission levels (readonly, readwrite, admin), configurable forbidden operations, and table-specific overrides. Additionally, its layered SQL safety intelligently detects critical operations and requires explicit confirmation, preventing accidental data loss or corruption.

Question 3

How does Database Connector ensure the security of database operations?

Accepted Answer

Security is paramount. It utilizes secure SSH tunnels for database connections, implements three-level granular permission control (connection, table, operation), and features layered SQL safety with intelligent detection and confirmation mechanisms for potentially dangerous operations.

Question 4

What is Database Connector and its primary purpose?

Accepted Answer

Database Connector is a tool designed to enable AI assistants to securely query and manipulate various remote databases, including MySQL and PostgreSQL. Its primary purpose is to provide a secure, controlled, and intelligent interface between AI models and your database infrastructure.

Question 5

Which database types are supported by Database Connector?

Accepted Answer

Currently, Database Connector officially supports MySQL and PostgreSQL databases. It is built with an extensible interface to allow for future integration of other database types.

Database Connector

Database Connector

Key Features

Use Cases

Key Features

Use Cases