MCP server · Analytics

Postgres MCP server

Lets your AI check your Postgres database health, find slow queries, and suggest indexes to speed things up.

Analytics For it and development For operations Databases

This is a helper that connects your AI assistant to a PostgreSQL database, the kind of database many apps use to store their data. Once it is set up, you can ask your AI plain questions about your database and it will look things up for you. It is handy for developers and anyone who looks after an app's database and wants to make it faster.

What is an MCP server? The 30-second version

On its own, your AI can only chat. An MCP server is a small helper program that gives your AI a new skill or a connection to an app or service. This one connects your AI to your PostgreSQL database, so the AI can look at your tables, check how healthy the database is, and run queries for you when you ask. You do not need to know how it works inside; you just ask in normal words.

What this MCP server does

You ask your AI something about your database, like which queries are slow. The AI sends that request to this helper program. The helper then talks to your PostgreSQL database, looking at things like query statistics, table structure, and index health. It sends the findings back to your AI, which explains them to you in the chat. If you allow it, it can also run SQL for you, which is the language used to talk to databases.

Flow diagram: you ask your AI “Check my database health and find slow queries”, on your own computer the Postgres MCP server works with postgreSQL, and you get back plain language answers in chat.

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What you can do with it

Check the overall health of your database and spot problems
Find your slowest queries and get ideas to speed them up
Get suggestions for new indexes that could make things faster
Look at how Postgres plans to run a query
List your tables, views, and other database objects
Run SQL statements yourself, if you turn on the right mode

Try asking your AI

“Check the health of my database and identify any issues.”
“What are the slowest queries in my database and how can I speed them up?”
“Analyze my database workload and suggest indexes to improve performance.”
“Help me optimize this query: SELECT * FROM orders JOIN customers ON orders.customer_id = customers.id WHERE orders.created_at > '2023-01-01';”

What it gives back to you

You get answers in the chat, in plain language. That can be a list of slow queries, a health report with warnings, or index suggestions with reasons. If you ask it to run SQL, it tells you what it did and shows the results.

Before you start

What you need

Login details for your PostgreSQL database (the connection address, username, and password)
Docker or Python 3.12 or higher installed on your computer
For the best results, two optional add-ons on your database called pg_stat_statements and hypopg

Good to know

In unrestricted mode it can change or delete data in your database, so use restricted mode on any database you care about.

Install it with your AI

Add Postgres 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.

Sign in to get the install prompt

Members get a ready-made prompt that lets the Claude desktop app check Postgres 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.