PostgreSQL MCP Server
Connects to a local PostgreSQL database to fetch and view products using secure authentication.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@PostgreSQL MCP Serverlist all products in the database"
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.
🔌 PostgreSQL MCP Server (Python & Docker)
A clean, fully executable implementation of a custom Model Context Protocol (MCP) server built in Python using Anthropic's FastMCP framework. This project connects Claude Desktop directly to a local PostgreSQL database running securely in Docker.
This repository contains all the code and configuration files showcased in the step-by-step YouTube tutorial.
🏗️ Architecture Overview
The connection is established using a simple client-server model defined by the Model Context Protocol: ┌─────────────────┐ JSON-RPC (stdio) ┌───────────────────┐ │ Claude Desktop │ <──────────────────────────> │ Python MCP Server │ │ (MCP Client) │ │ (FastMCP) │ └─────────────────┘ └─────────┬─────────┘ │ SQL │ (Authentication) ▼ ┌───────────────────┐ │ PostgreSQL │ │ (Docker Container)│ └───────────────────┘
Authentication: The Python script uses a secure username/password credential set to authenticate with the Postgres database.
Authorization: Claude is authorized strictly to fetch and view products via the
@mcp.tool()wrapper. It does not have access or permissions to perform destructive database modifications.
Related MCP server: PostgreSQL MCP Server for Claude Desktop
📁 Project Structure
mcp-postgres-demo/
├── db/
│ └── init.sql # Seed data & table schema definitions
├── docker-compose.yml # Multi-container local database orchestrator
├── server.py # FastMCP Server with stdio & SSE transport modes
├── requirements.txt # Locked project dependencies
└── .gitignore # Keeps local environments and OS junk out of Git
🚀 Quick Start Guide
1. Clone & Set Up a Virtual Environment
Isolate your Python workspace to avoid dependency version conflicts:
# Clone this repository
git clone [https://github.com/](https://github.com/)<your-username>/claude-postgres-mcp-connector.git
cd claude-postgres-mcp-connector
# Create the virtual environment
python -m venv venv
# Activate it (macOS/Linux)
source venv/bin/activate
# Activate it (Windows PowerShell)
.\venv\Scripts\Activate.ps1
2. Install Project Dependencies
Install the locked dependencies defined in our requirement manifests:
pip install -r requirements.txt
3. Launch the Database (Docker)
We use Docker Compose to spin up a pre-configured Postgres database.
docker-compose up -d
Note: The docker-compose.yml mounts our SQL script using the :ro (Read-Only) volume flag. This is a secure best-practice protecting our local init.sql initialization script from being corrupted or altered by runtime database mutations.This server cannot be installed
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