This project is an experimental MCP server that connects Claude with PostgreSQL, enabling an interactive SQL learning environment.

For many data professionals, one of the biggest challenges in practicing SQL is the lack of a suitable demo dataset. Even if they manage to get one, it’s hard to replicate specific scenarios needed for problem-oriented practice.

With generative AI, we can overcome this limitation. Claude can generate synthetic datasets on demand, tailored to the learner’s requirements.

With this MCP server, learners can:

• Add new users to the database.

• Assign admin privileges for performing DB operations.

• Generate scenario-specific datasets with Claude and insert them into PostgreSQL.

• Run queries directly inside Claude and fetch results from PostgreSQL.

This makes SQL practice highly flexible, interactive, and scenario-driven.

• Python (MCP server implementation)

• PostgreSQL (database backend)

• Claude (for data generation and interaction)