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Pgsql Mcp Server

@twn39on 10 months ago
2 MIT
FreeCommunity
AI Systems
#ai#mcp#mcp-server#pgsql#postgresql#python
🔧 A powerful tool server based on the Model Context Protocol (MCP), enabling interaction with PostgreSQL databases via MCP calls.

Overview

What is Pgsql Mcp Server

pgsql-mcp-server is a powerful tool server based on the Model Context Protocol (MCP), designed to facilitate interaction with PostgreSQL databases through MCP calls.

Use cases

Use cases for pgsql-mcp-server include building responsive web applications, performing complex data analysis, and managing backend services that require efficient database access and manipulation.

How to use

To use pgsql-mcp-server, ensure Python 3.8+ is installed and run the server using the command: uvx pgsql-mcp-server --dsn "postgresql://user:password@localhost:5432/db". For debugging, utilize the MCP Inspector tool.

Key features

Key features include asynchronous and efficient operations using asyncio and asyncpg, transactional safety for DDL, DML, and DCL operations, and easy deployment via a command line interface.

Where to use

pgsql-mcp-server can be used in various fields requiring database interactions, such as web applications, data analysis tools, and backend services that rely on PostgreSQL databases.

Content

PgSQL MCP Server

PyPI - Version
PyPI - Python Version
Maintainability

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.

Tools

No tools

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