PostgreSQL
byAMVijay
0Enables AI models to query and interact with PostgreSQL databases via the Model Context Protocol.
About
This proof-of-concept Model Context Protocol (MCP) server facilitates seamless interaction between AI models and PostgreSQL databases. It provides a robust bridge, allowing AI systems to execute read-only SQL queries, perform schema introspection, and manage database connections in a structured and secure manner. The server demonstrates how to integrate AI capabilities with structured database content through the MCP standard, complete with sample data setup for immediate testing.
Key Features
- Execute SQL SELECT queries against PostgreSQL databases
- Introspect database schema to list tables and describe their structure
- Configure PostgreSQL connection parameters via environment variables
- Includes sample weather data and setup script for quick demonstration
- Provides a standardized interface for integration with MCP-compatible AI clients
- 0 GitHub stars
Use Cases
- Providing a standardized API layer for AI interaction with relational databases
- Connecting AI models to structured PostgreSQL data for querying
- Developing AI agents that require real-time database querying capabilities
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