Connect ChatGPT to any Database

Connect ChatGPT to any MySQL & PG database for querying and analysis and Python stats and chart

An AI-powered database companion that lets you chat with, query, transform, and analyze data from MySQL or PostgreSQL databases using natural language or voice inputs.

Video Guide

https://youtu.be/gm7nbZaqMOs

What This Gpt Does

• Connect to any MySQL or PostgreSQL database through secure channels
• Query databases using natural language that gets converted to SQL
• Run complex statistical analysis with built-in Python code interpreter
• Create visual data representations with auto-generated charts
• Fast deployment with no custom UI builds or agent setups required
• Cost-effective solution with no separate token costs beyond ChatGPT subscription
• Works with both text and voice inputs (using regular voice mode)

Important Note

This GPT is for testing purposes only. Any database credentials provided are proxied through my server. For live deployments, users should self-host the backend connector (FastAPI or equivalent).

For temporary databases to test connections, create free instant instances at:

• Neon (Postgres): https://neon.tech
• Supabase (Postgres): https://supabase.com
• Aiven (Postgres/MySQL): https://aiven.io/free-postgresql

How To Use

• Connect Your Database
• Provide your database credentials (host, user, password, database name)
• Format doesn't matter - the GPT can parse credentials from various formats
• Test the connection with a simple query like "show me some tables"
• Query Your Data
• Ask questions in natural language: "Show me the top 10 customers by purchase value"
• GPT will generate and execute the appropriate SQL query
• Review results directly in the chat interface
• Analyze and Visualize
• Request statistical analysis: "Calculate average order value by month"
• Ask for visualizations: "Create a bar chart of sales by region"
• Use the generated charts directly in your presentations

How It Works

Natural Language Processing:

• ChatGPT interprets your natural language requests
• Natural language is intelligently converted to structured SQL queries
• AI determines the context and intent of your database questions

Database Connectivity:

• FastAPI server acts as a bridge between ChatGPT and your databases
• Connection strings can be provided in URI format or as separate parameters
• The server handles authentication and query execution through encrypted channels
• Results are formatted and returned to the chat interface

Analysis and Visualization:

• Built-in OpenAI Code Interpreter executes Python for data analysis
• OpenAPI schema defines how ChatGPT interacts with the FastAPI endpoints
• Sample records can be analyzed internally without exposing raw data
• Create charts like combo charts with dual axes to visualize analytical results

Two Main Ways To Connect

• Dynamic Connection to Any Database

This page demonstrates the dynamic connection method. You can provide credentials for any MySQL or PostgreSQL database to connect and start querying.

• Fixed Connection to a Specific Database

For real-world applications, you might want to connect to a fixed database with more specific access controls. This can be achieved by using the /sqlquery/ endpoint and storing credentials securely in the backend.

Resources

Source Code & Build Guide:

https://github.com/amararun/shared-fastapi-rex-db-coolify

FastAPI Server for connecting ChatGPT to any database, with JSON schema for Custom GPT setup

Natural Language to SQL Guide:

https://link.tigzig.com/custAPI

Understanding the basics of NL-to-SQL, FastAPI servers, and connecting AI to databases

Built On

OpenAI's GPT Platform - This custom GPT was developed to bring the power of ChatGPT to database operations. It offers a simple but powerful approach to database interaction - no custom UI builds or complex agent setups required.

Source: tigzig.com | Open source AI tools for analytics, databases & automation | Amar Harolikar