Which integrations are available for this server?

Allows natural language interaction with MariaDB databases, enabling users to perform queries, explore database schemas, and visualize data. Provides a natural language interface for MySQL databases, supporting schema exploration, data visualization, and instant query execution. Enables querying and schema analysis of PostgreSQL databases through natural language commands and provides tools for data visualization. Allows users to interact with SQLite databases using natural language, providing capabilities for schema browsing and data analysis.

How do I use Database MCP?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Database MCP List the top 5 customers by total revenue this month" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

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

Database	Status
PostgreSQL	✅
MySQL / MariaDB	✅
SQL Server	✅
SQLite	✅

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

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quality - not tested

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