The Medical MCP Server is a dedicated server based on the Model Context Protocol (MCP) that provides AI assistants with access to medical data and medical information tools, including functions such as drug information query, medical literature retrieval, and health topic access.

dicom-mcp is a DICOM-based model context protocol server that provides tools for large language models to query and interact with medical imaging metadata. It supports the retrieval of patient information, examinations, series, and instances, as well as the extraction of text from DICOM-encapsulated PDFs.

Cortellis drug database query and analysis service, providing functions such as drug search, ontology exploration, and company query.

An independent MCP server for accessing the Australian Pharmaceutical Benefits Scheme (PBS) API, providing a drug data query tool for AI models.

PubCrawl is an MCP server that provides LLM clients with access to PubMed literature retrieval, FDA drug labels, UK drug data, and ClinicalTrials.gov clinical trials, enabling comprehensive medical information queries from literature to labels to trials.

The MCP server is used for clinical charting, helping home health nurses directly record patient visit information into the electronic medical record system, reducing administrative burden. Currently in simulation mode for development and testing.

An Emergency Medical Planning MCP server based on Google Maps for locating and evaluating medical institutions within a 10-kilometer radius in case of emergencies, providing real-time routes, availability checks, and detailed medical service information to help patients make informed decisions.

The Suncture Healthcare MCP Server is a healthcare service tool based on the Model Context Protocol, providing functions such as medical information query, symptom analysis, and BMI calculation for AI assistants. It supports installation via npm or Docker deployment.

The Cortellis MCP Server is a tool for searching drugs and exploring ontological terms. It provides functions such as querying drug development status, obtaining detailed drug information, SWOT analysis, and financial data, and supports running in both HTTP and MCP modes.

An AI - based bilingual medical analysis web application that provides report parsing, symptom analysis, and medication information query functions