Postgres

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This project provides a Model Context Protocol (MCP) server that allows external AI models and tools to interact with a PostgreSQL database in a standardized way. By eliminating the need for custom integrations, it offers a common API for running both `SELECT` and non-`SELECT` SQL queries, returning results in structured JSON. This enables seamless use of PostgreSQL as a knowledge base or application datastore for MCP-compatible clients.

Características Principales

• Features structured logging with Loguru.
• Returns query results in structured JSON format.
• 1 GitHub stars
• Executes direct PostgreSQL queries via MCP.
• Supports both data retrieval (SELECT) and database modifications (INSERT, UPDATE, DELETE, CREATE).
• Operates in either standard I/O (stdio) or HTTP (REST API) modes.

Casos de Uso

• Integrate PostgreSQL as a data source for MCP-compatible AI models.
• Allow external MCP clients to execute SQL queries on a PostgreSQL database.
• Utilize PostgreSQL as a standardized knowledge base or application datastore for MCP systems.