Multi-Postgres FAQs

Question 1

What specific PostgreSQL operations can AI clients perform using Multi-Postgres?

Accepted Answer

AI clients can perform read-only operations such as `pg_list_databases` (list available databases), `pg_list_tables` (list tables with row counts), `pg_describe_table` (get column types, PK/FK), and `pg_query` (execute read-only SQL queries).

Question 2

How does Multi-Postgres ensure data security for AI interactions?

Accepted Answer

It enforces read-only transactions for all database operations, preventing write, update, or delete commands. Additionally, it offers a `--label` filter for robust per-project database isolation, ensuring AI clients only access relevant data.

Question 3

Can I update database configurations without restarting the server?

Accepted Answer

Yes, Multi-Postgres supports hot-reloading configuration changes. New database connections or updates to existing ones in your `config.json` are instantly available without requiring a server restart, ensuring continuous operation.

Question 4

What is Multi-Postgres and why use it for AI clients?

Accepted Answer

Multi-Postgres allows AI clients to access unlimited PostgreSQL databases via a single server instance, eliminating the need for separate Model Context Protocol (MCP) servers for each individual database. This simplifies setup and management for multi-project or multi-database environments.

Question 5

Which AI clients are compatible with Multi-Postgres?

Accepted Answer

Multi-Postgres is compatible with various Model Context Protocol (MCP) enabled AI clients. This includes popular tools like Claude Code, Cursor, Windsurf, and Cline.

Multi-Postgres

Key Features

Use Cases

Multi-Postgres

Key Features

Use Cases