The Hana Compass API is an API and MCP server that provides a unified interface for electronic health record (EHR) integration and medical research.

The PubMed MCP Server is an interface service based on the Model Context Protocol, providing comprehensive access to the PubMed biomedical literature database for AI agents and research tools. It supports functions such as literature search, metadata acquisition, citation analysis, research plan generation, and data visualization, and is efficiently integrated through the NCBI E - utilities API.

An advanced medical literature research tool based on the PubMed database, providing functions for searching, analyzing, and retrieving academic medical papers, including literature search, obtaining detailed metadata, generating citations, and researcher statistics.

A professional PubMed medical literature analysis MCP server that provides literature retrieval, hotspot analysis, trend tracking, and publication statistics functions to help researchers quickly understand medical research dynamics.

An MCP server based on the Google Cloud Healthcare API that provides medical tools for interacting with FHIR resources, supports data access through a Smart on FHIR gateway with Firebase authentication, and integrates medical research APIs such as PubMed.

The medRxiv MCP Server is a bridge connecting AI assistants with the medRxiv preprint library, enabling the search, access, and analysis of health science papers through the MCP protocol.

A PubMed literature analysis MCP server developed specifically for medical students and researchers, providing functions such as literature retrieval, hot - spot analysis, trend tracking, and publication statistics.

An AACT clinical trial database query service based on the FastMCP framework, providing direct access and analysis functions for clinical trial data.

A professional PubMed medical literature analysis MCP server that helps researchers quickly retrieve and analyze medical literature hotspots and trends.

The ClinicalTrials MCP Server is a bridging service that connects AI assistants with the clinical trial database of ClinicalTrials.gov. It provides functions such as clinical trial search, metadata acquisition, and CSV data management through the MCP protocol, supporting medical research and analysis.

NexonCo MCP is an advanced medical care platform server designed for accessing and analyzing clinical evidence data, supporting precision medicine and oncology research.

The medRxiv MCP Server is a bridge connecting AI assistants to the medRxiv preprint library, providing functions for searching, obtaining metadata, and accessing content of health science preprints via the Model Context Protocol (MCP).

This project is a research on automated medical coding, providing code for training and evaluating medical coding models on the MIMIC - III and MIMIC - IV datasets, including the implementation of multiple models and the division of new datasets.