Database MCP - Natural Language Database Interface

A modern web application that lets you interact with SQL databases using natural language, powered by the Model Context Protocol (MCP).

Features

• Natural Language Queries: Ask questions in plain English, get results instantly
• Multi-Database Support: PostgreSQL, MySQL, MariaDB, MSSQL, SQLite
• Rich Visualizations: Tables, charts, and formatted code blocks
• Schema Explorer: Browse database structure with an intuitive sidebar
• Dark & Light Modes: Modern design with light/dark theme support
• Responsive Design: Works on desktop, tablet, and mobile

Prerequisites

• Node.js 18+
• A database (PostgreSQL, MySQL, MSSQL, or SQLite)
• LLM API key (Groq, OpenAI, or compatible endpoint)

Setup & Installation

1. Install Dependencies

npm install

2. Configure Environment

Copy .env.example to .env and update with your credentials:

cp .env.example .env

Then edit .env with:

• LLM_API_URL: Your LLM API endpoint (e.g., Groq, OpenAI)
• LLM_API_KEY: Your API key
• LLM_MODEL: Model name (e.g., mixtral-8x7b-32768)
• ENCRYPTION_KEY: A 32-character random key for production

3. Run Development Server

npm run dev

The application will start at http://localhost:3000

Available Scripts

npm run dev        # Development with hot reload
npm run build      # Build TypeScript
npm start          # Run production build
npm run demo:setup # Create demo database
npm run demo:run   # Run with demo data
npm test           # Run tests

Supported Databases

Architecture

Web UI → Chat → MCP Tools → Scanner → Database

Key Components:

• Frontend (public/): Interactive UI with theme support
• Server (src/server.ts): Express API and MCP
• Tools (src/mcp/): MCP protocol implementation
• Providers (src/providers/): Database adapters
• Scanner (src/scanner/): Database schema analysis
• Encryption (src/utils/encryption.ts): Credential encryption

License

MIT