DataQuest - Database Query Assistant

A chat-based interface for querying your database using natural language. Built with MCP (Model Context Protocol).

!Preview

Read the full article on Medium here: https://medium.com/@jonortega20/building-a-database-querier-with-mcp-17df0f49a2de

Features

• Clean, modern UI with responsive design
• Chat-style interface for natural language database queries
• Real-time interaction with your PostgreSQL database
• Supports code block formatting in responses
• Status indicators and loading animations

Requirements

• Python 3.11+
• Flask
• LangChain OpenAI
• Postgre MCP

Installation

1. Clone this repository

2. Install the required Python packages:

pip install flask flask-cors langchain_openai python-dotenv

3. Make sure you have MCP installed:

pip install mcp_use

4. Make sure you have an OpenAI API key and your database connection string in your .env file:

OPENAI_API_KEY=your_api_key_here
DB_LINK=your_database_connection_string_here

Usage

1. Start the Flask server:

python app.py

2. Open your browser and navigate to:

http://localhost:5000

3. Start asking questions about your database!

Example Queries

• "How many users are in the database?"
• "Show me a random user's information"
• "What is the average age of the users?"
• "What is the percentage of active users?"
• "How many users are there per country?"

Created By

Jon Ortega