mimic-mcp-server

mimic-mcp-server

1
databases

This project evaluates the performance and developer productivity of using a Model Context Protocol (MCP) server layered on Azure Database for PostgreSQL, specifically for clinical analytics with large datasets such as MIMIC-IV. Key results indicate that the MCP server can outperform traditional SQL approaches.

MCP Server × PostgreSQL on MIMIC-IV

Project Goal

  • Evaluate if an MCP Server on Azure Database for PostgreSQL can outperform direct SQL in clinical analytics while reducing developer effort.

Problem Statement

  • Clinical datasets like MIMIC-IV have large rows and attributes, which makes raw SQL cumbersome.
  • The project explores if MCP-based abstraction can enhance productivity and runtime efficiency.

Prerequisites

  • Requires Python 3.10+, Node 18+, Azure Database for PostgreSQL, MIMIC-IV credentials.

Key Results

  • The MCP server shows improved runtime efficiency and reduced lines of code compared to direct SQL.