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PostgreSQL Tuning MCP server

by isdaniel

Lets your AI inspect a PostgreSQL database and suggest ways to make slow queries faster.

Flow diagram: you ask your AI “Why is my orders report so slow?”, the PostgreSQL Tuning MCP server connects it to PostgreSQL database, and you get back plain answers and advice.

This is a helper for people who look after a PostgreSQL database and want a hand finding what is slow. It connects your AI assistant to your database so it can read performance information and explain it in plain words. It is handy if you run reports, dashboards, or apps on PostgreSQL and queries sometimes crawl.

What is an MCP server? The 30-second version

On its own, your AI can only chat with you. An MCP server is a small helper program that gives your AI a new skill or a connection to another system. This one connects your AI to a PostgreSQL database, so it can look up slow queries, table sizes, and index information for you. You ask a question, and the AI uses this helper to fetch the answers from your database.

What this MCP server does

You ask your AI something like which queries are slowest or why a report takes so long. The AI sends that request to this helper program. The helper connects to your PostgreSQL database and reads the performance statistics that PostgreSQL already keeps. It then hands the numbers back to the AI, which explains them to you and suggests what to change, such as adding an index or adjusting a setting.

Flow diagram: you ask your AI “Why is my orders report so slow?”, the PostgreSQL Tuning MCP server connects it to PostgreSQL database, and you get back plain answers and advice. Click to zoom

What you can do with it

  • List the slowest queries in your database
  • Explain why a specific query is slow
  • Suggest indexes that could speed up your workload
  • Test a suggested index without actually creating it
  • Find unused or duplicate indexes you could drop
  • Check overall database health and cache hit ratios
  • Watch long-running vacuum operations

Try asking your AI

  • “What are the slowest queries in my database this week?”
  • “Why is this query slow: SELECT * FROM orders WHERE customer_id = 42”
  • “Which indexes are unused and could be removed?”
  • “Would adding an index on orders(customer_id) help?”

What it gives back to you

You get back plain answers in the chat: lists of slow queries with their times, explanations of a query plan in everyday words, and suggestions for indexes or settings. It can also show health scores, table sizes, and which indexes are unused. Nothing in your data is changed unless you decide to act on the advice yourself.

Before you start

What you need

  • A PostgreSQL database you can connect to
  • The connection details for that database (host, port, database name, user, password)
  • A database user with read access to statistics (the README shows the exact permissions)
  • Python installed on your computer

Good to know

It reads your database statistics and can run EXPLAIN ANALYZE, which actually executes the query, so avoid pointing it at a production database with very heavy queries unless you are comfortable with that.

Install it with your AI

Add PostgreSQL Tuning MCP server to your AI, no technical skills needed

You don't install anything by hand. You copy one prompt, paste it into an AI that can work on your computer, and it checks, installs and connects the server for you, asking you when it needs something.

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Members get a ready-made prompt that lets the Claude desktop app check PostgreSQL Tuning MCP server, install it and connect it for them, step by step. You don't need any technical skills: you copy, paste and answer a few questions. Your connected AI can also find and install any of the 4,066 MCP servers here for you.

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Who it's for

Database administrators, developers, and anyone who looks after a PostgreSQL database and wants help finding slow queries.