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Connect to Any Database with ChatGPT

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.

Try Database GPT Watch Video Guide LLM Context (.txt)

What This GPT Does

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This Custom GPT provides a seamless interface between natural language and databases:

  • 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: no separate token costs beyond ChatGPT subscription
  • Works with both text and voice inputs (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). Source code and guides: app.tigzig.com.

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

How to Use

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  1. Connect Your Database
    • Provide 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"
  2. Query Your Data
    • Ask questions in natural language: "Show me the top 10 customers by purchase value"
    • REX-GD will generate and execute the appropriate SQL query
    • Review results directly in the chat interface
  3. Analyze and Visualize
    • Request statistical analysis: "Calculate average order value by month"
    • Ask for visualizations: "Create a bar chart of sales by region"
    • Use generated charts in presentations via screenshots

How It Works

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This Custom GPT connects ChatGPT's interface with a FastAPI backend for database interactions:

Natural Language Processing

  • ChatGPT interprets natural language requests
  • Natural language converted to structured SQL queries
  • AI determines the context and intent of 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
  • Server handles authentication and query execution through encrypted channels
  • Results 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 FastAPI endpoints
  • Sample records can be analyzed internally without exposing raw data
  • Create charts like combo charts with dual axes to visualize results

Two Main Ways to Connect

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1. 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.

2. 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.

As an example, see the Connect to Supabase tool, which demonstrates connecting to a fixed Supabase database.

Resources

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Built on OpenAI's GPT Platform

Custom GPT built on ChatGPT's Custom GPT framework. No custom UI builds or complex agent setups - just connect, chat, and analyze through the familiar ChatGPT interface.

Bugs,issues,questions? Drop a note: [email protected]