PostgreSQL Server

About

This server project implements the Model Context Protocol (MCP) to bridge AI assistants with PostgreSQL databases, offering a secure and structured pathway for data interaction. It enables AI models to safely query databases, execute read-only operations, and generate intelligent queries by providing contextual schema information and predefined tools. Designed with robust configuration management and an asynchronous database abstraction layer, it ensures reliable and context-aware communication for AI-driven data access, supporting both local development and network deployment.

Key Features

• Contextual database metadata and dynamic instruction templates for AI query generation
• Secure, read-only PostgreSQL database interaction with strict query validation
• Standardized interface for AI assistants via Model Context Protocol (MCP)
• Comprehensive set of database interaction tools (schema discovery, query execution, performance analysis)
• Dual transport support for local development (stdio) and network deployment (SSE)
• 0 GitHub stars

Use Cases

• Providing structured database operations for AI models through a standardized protocol
• Guiding AI query generation with database schema context and predefined prompts
• Enabling AI assistants to securely query PostgreSQL databases without direct access