Abstract Large Language Models (LLMs) are widely used today in software development, including generating code and SQL. Agents, combined with the Model Context Protocol (MCP), enable LLMs to interact directly with database management systems and automate tasks such as schema creation, migrations, and query execution. However, effective interaction with an external system requires knowledge of specific details, such as the protocol, endpoint, and the SQL dialect to be used. The Model Context Protocol defines a standard that allows exposing tools, resources, and prompts in a discoverable, machine-readable format, enabling agents to discover the capabilities of systems and interact with them. This article explores the use of LLMs, agents, and the MCP in today’s database development. Additionally, it discusses how to implement your own MCP server, focusing on a simple MCP server for the PostgreSQL database management system that manages databases and executes SQL. Furthermore, it illustrates how an agent can utilize this MCP server through prompts.
Jan Kristof Nidzwetzki (Tue,) studied this question.