mimic-mcp-server

mimic-mcp-server

3.2
databases

If you are the rightful owner of mimic-mcp-server and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

This project evaluates the performance and productivity of using a Model Context Protocol (MCP) Server layered on Azure Database for PostgreSQL for large-scale clinical analytics, specifically using the MIMIC-IV dataset.

The project aims to determine if an MCP-based abstraction can improve developer productivity while maintaining or enhancing runtime efficiency compared to traditional SQL-only workflows. The MIMIC-IV dataset, which contains tens of millions of rows and hundreds of attributes, is used to test this hypothesis. The project involves setting up an MCP Server to interface with a PostgreSQL database on Azure and comparing its performance against direct SQL queries. The evaluation includes various workloads, from simple counts to complex multi-table aggregations. The results show that the MCP Server can significantly reduce the lines of code required and improve query execution times, demonstrating its potential to streamline clinical data analytics.

Features

  • Improved Developer Productivity: MCP Server reduces the lines of code needed for complex queries.
  • Enhanced Runtime Efficiency: MCP Server shows faster query execution times compared to direct SQL.
  • Seamless Integration: Works with Azure Database for PostgreSQL and supports Microsoft Entra authentication.
  • Scalable Architecture: Capable of handling large datasets like MIMIC-IV with millions of rows.
  • Benchmarking Tools: Includes scripts for performance comparison between MCP and direct SQL.

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