Natural language Postgres Server

This project is a Node.js server that connects to a PostgreSQL database. It includes utilities for AI and database interactions in natural language.

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Features

• ✅ Converts English questions to SQL queries using Google Gemini API
• ✅ Executes queries with read-only PostgreSQL user
• ✅ Prevents INSERT, UPDATE, DELETE, DROP, ALTER
• ✅ Minimal data exposure

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Tech Stack

• Node.js (Express)
• PostgreSQL
• Google Gemini API

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Setup

1. Copy .env.example to .env and configure your environment variables.
2. Run npm install to install dependencies.
3. Start the server using:

   npm start
   

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Environment Variables

Ensure the following variables are set in your .env file:

• GEMINI_API_KEY: Your Google Gemini API key.
• PG_HOST: Hostname or service name of your PostgreSQL instance.
• PG_USER: PostgreSQL username.
• PG_PASSWORD: PostgreSQL password.
• PG_DATABASE: Name of the PostgreSQL database.
• PG_PORT: Port number for PostgreSQL (default: 5432).
• PORT: Port number for the server (default: 3000).

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Usage

Send a POST request to the /query endpoint with the following JSON payload:

{
  "question": "Your English question here"
}

The server will respond with the generated SQL query and the query results.

Example:

curl -X POST http://localhost:3000/query \
-H "Content-Type: application/json" \
-d '{"question": "List all records created in the last 30 days"}'

Response:

{
  "query": "SELECT * FROM records WHERE created_at >= NOW() - INTERVAL '30 days';",
  "data": [ ... ]
}

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Production Deployment

1. Build and start the Docker containers:

   docker-compose up --build -d
   

2. Access the server at http://localhost:3000.

3. Monitor logs using:

   docker logs -f mcp_postgres_server
   

4. To stop the containers:

   docker-compose down