pgsql-mcp-server

PostgreSQL MCP Server


Keywords
ai, mcp, mcp-server, pgsql, pgsql-mcp-server, postgresql, python
License
MIT
Install
pip install pgsql-mcp-server==1.3.0

Documentation

PgSQL MCP Server

PyPI - Version

A powerful tool server based on the Model Context Protocol (MCP), enabling interaction with PostgreSQL databases via MCP calls.


🚀 Overview

This project is built on the FastMCP framework and leverages the SQLAlchemy and asyncpg libraries to deliver high-performance asynchronous database operations, ensuring efficiency and responsiveness when handling database requests.

✨ Key Features

  • Asynchronous & Efficient: Fully asynchronous implementation based on asyncio, utilizing asyncpg for a high-performance asynchronous PostgreSQL driver.
  • Transactional Safety: DDL, DML, and DCL operations are executed within transactions with error handling and rollback mechanisms.
  • Easy Deployment: Start the server with a simple command line interface.

📦 Installation

Ensure you have Python 3.8+ installed. Installation via uvx is recommended:

uvx pgsql-mcp-server --dsn "postgresql://user:password@localhost:5432/db"

🔍 Preview and Debugging

You can use the official MCP Inspector tool to visually inspect the tools provided by this server, view their parameters and descriptions, and perform test calls directly.

npx @modelcontextprotocol/inspector uvx pgsql-mcp-server --dsn "postgresql://user:password@host:port/database"

This will start a local web service. Open the provided URL in your browser to begin debugging.

🤝 Contributing

Contributions are welcome! If you have suggestions for improvements, feature requests, or find any bugs, please feel free to:

  1. Open an Issue to discuss.
  2. Fork the repository and create your feature branch (git checkout -b feature/AmazingFeature).
  3. Commit your changes (git commit -m 'Add some AmazingFeature').
  4. Push to the branch (git push origin feature/AmazingFeature).
  5. Open a Pull Request.