PostgreSQL MCP Server

Read-only access to PostgreSQL databases using the Model Context Protocol (MCP)

PostgreSQL MCP Server 🔗

The PostgreSQL Model Context Protocol (MCP) server provides a robust interface for read-only access to PostgreSQL databases, enabling large language models (LLMs) to effectively examine database schemas and execute read-only queries. This server ensures secure data access while maintaining data integrity.

Features

• Read-only Access: The server facilitates secure, read-only access to PostgreSQL databases, ensuring data integrity while allowing detailed data analysis.
• Schema Examination: Provides comprehensive resources that detail table schemas in JSON format, including column names and data types, which aids LLMs in understanding the structure of the database.
• Query Execution Tools: Equipped with robust tools for executing SQL queries, allowing LLMs to retrieve data and insights efficiently.
• Integration Example: Includes a practical configuration example for integrating the MCP server with the Claude Desktop app. This example outlines the necessary server startup commands and PostgreSQL connection strings for seamless setup.
• MIT License: Distributed under the MIT License, offering freedom for users to modify, use, and distribute the software as needed without legal constraints.

Use Cases

The MCP server is versatile and can be applied in various scenarios:

• Data Analysis: Enables LLMs to perform extensive data analysis by examining the database schema and querying necessary data, facilitating tasks such as trend detection or anomaly identification.
• Educational Tools: Serves as an instructional tool for teaching database management and query execution in educational settings, allowing students to interact with real-time data samples safely.
• App Development: Supports developers in creating applications that require secure, read-only database access, such as reporting or dashboard applications, by offering a reliable backend server.
• Machine Learning Models: Assists in training machine learning models that need to interpret and analyze existing data structures within databases, improving model robustness and accuracy.

This server provides a secure and efficient way to interact with PostgreSQL databases while maintaining data integrity through read-only access. It serves as a valuable tool for developers, educators, and data analysts looking to leverage LLM capabilities with database operations.