PostgreSQL MCP server (MCPg)

MCPg is a helper that connects your AI assistant to a PostgreSQL database. PostgreSQL is a popular place where companies keep their data, and this helper lets your AI read it, ask questions about it, and explain what it finds. It is handy for anyone who works with a database but does not want to write SQL by hand.

What this MCP server does

You ask your AI a question in plain English, like which tables exist or why a query is slow. The AI passes that request to MCPg, which talks to your PostgreSQL database. MCPg checks that any query is safe to run, then sends it to the database and brings back the results. Your AI turns those results into a clear answer, a table, or a short summary in the chat.

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What you can do with it

• List the schemas and tables in your database
• Summarise the biggest tables and what they contain
• Explain why a slow query is slow and suggest an index
• Turn a plain English question into a SQL query
• Search inside text columns and find matching rows
• Check database health, locks, and running queries
• Compare two database structures and show what changed

Try asking your AI

• “What schemas exist in this database, and what are the three biggest tables in each one?”
• “Why is this query slow: SELECT * FROM orders WHERE customer_id = 42 ORDER BY created_at DESC”
• “Show me the ten most recent orders and the customer name for each one”
• “Which indexes would help the orders table, and why?”

What it gives back to you

You get answers in the chat: lists of tables, short summaries, numbers, and sometimes a table of rows. For slow queries, it explains the steps the database takes and suggests indexes. If you ask it to change something and that is allowed, it tells you what it changed.

Before you start

Who it's for

Analysts, support teams, product managers, and developers who work with a PostgreSQL database but do not want to write SQL by hand.