Project case study

PostgreSQL MCP Server

Python-based Model Context Protocol server that lets LLMs perform CRUD operations on PostgreSQL data through structured tools.

Key outcomes

  • Exposed database CRUD operations through MCP-compatible tools.
  • Focused on reliable query execution so LLM-driven workflows could interact with live relational data.
  • Type Safety: Comprehensive type hints and validation

The value of this project was its practicality. Instead of treating LLMs as isolated chat systems, it connected them to structured operational data through a protocol layer that can support repeatable workflows.

It demonstrates experience with the emerging MCP ecosystem and with the engineering discipline required when model-facing tools are allowed to touch real databases.