PostgreSQL MCP Server

PostgreSQL MCP servers enable AI models to interact with PostgreSQL databases, providing capabilities for structured data operations, SQL queries, transaction management, and advanced data indexing.

{
  "mcpServers": {
    "postgres": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "mcp-postgres-server"
      ],
      "env": {
        "PG_HOST": "your_host",
        "PG_PORT": "5432",
        "PG_USER": "your_user",
        "PG_PASSWORD": "your_password",
        "PG_DATABASE": "your_database"
      }
    }
  }
}

Overview

The MCP Postgre Server bridges AI and databases by letting language models (LLMs) work directly with PostgreSQL. It's part of the Model Context Protocol (MCP) system, providing a safe and standard way to connect AI with data. 1

Anton Orlov

Key features include:

  • View and understand database structures
  • Convert natural language to SQL queries
  • Handle query results effectively
  • Format data for easy reading

Tools

Sources

Footnotes

  1. https://github.com/antonorlov/mcp-postgres-server ↩

Related Articles

Spring Application Advisor and MCP

Spring Application Advisor and MCP

OpenHue Integration Guide

This guide explains how to integrate OpenHue lighting systems with MCP servers, allowing for automated control and management of smart lighting infrastructure through our platform.

Image Download

Image Download