The FHIR MCP Server is a medical data management server based on the FastMCP framework, providing a complete implementation of the Model Context Protocol (MCP) and supporting the interaction between LLM agents and FHIR-compatible backends. It provides standardized interfaces, supports comprehensive CRUD operations on FHIR resources, and implements intelligent document processing and semantic search through a series of tools.

The Smartsheet MCP Server is a middleware that enables intelligent integration between AI and the Smartsheet platform, providing functions for automated document management, data operations, and medical analysis.

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.

This is a production-level medical agent server template based on the AOP protocol. It can deploy multiple professional medical agents as MCP tools, supporting the discovery and invocation of various medical analysis agents (such as laboratory data interpretation, ICD-10 coding, treatment plans, drug interactions, imaging triage, and clinical note summarization) through MCP clients, and providing functions such as queue management, dynamic discovery, and batch processing.

This is a collection of MCP servers focused on the medical field, covering various medical - related MCP service implementations such as PubMed literature retrieval, access to medical preprints, FHIR data interaction, DICOM medical image processing, protein structure analysis, medical computing tools, and integration of medical education resources.

An experimental TypeScript MCP server for connecting to FHIR servers and providing core MCP functions

Agent Care is a server based on the MCP protocol, providing medical tools and interaction prompts for electronic medical record systems such as Cerner and Epic, and supporting access to FHIR data and medical resources.

The MedixHub MCP Server is a model context protocol service based on JavaScript, integrating medical and health API access functions, providing standardized function execution, parameter verification, and LLM integration, and supporting various medical data queries such as OpenTarget, FDA drug labels, and Monarch databases.

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.

Medical AI Assistant Data Service

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 ClinicalTrials.gov MCP server is an interface service based on the Model Context Protocol that provides access to the official ClinicalTrials.gov database, supporting AI agents and LLMs to programmatically search, retrieve, and analyze clinical research data.

Agent Care is a server based on the MCP protocol, used to interact with electronic medical record systems such as Cerner and Epic, providing medical tools and FHIR data access functions.

The DS Core MCP Server project is a medical data integration toolset based on the DS Core Open API platform, including four independent MCP servers for patient management, document management, DICOM image management, and digital impression management, enabling large language models to securely and conveniently access medical data and services.

The first Swiss health insurance MCP server, providing structured access to over 1.6 million pieces of premium data from 55 insurance companies between 2016 and 2026, enabling AI assistants to accurately query and compare Swiss medical insurance costs.

A medical database connection server based on the MCP protocol, providing virtual file system navigation, intelligent table structure query, secure SQL execution, and time-aware functions to help AI assistants safely access hospital management data.

The Theta Health MCP Server is a service that connects health data to AI assistants through the Model Context Protocol (MCP), supporting the query and management of health data such as medical records, functional examinations, and device data.

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.

This project implements a complete Model Context Protocol (MCP) server for interacting with the Medplum FHIR Server. It provides 33 FHIR resource management tools and supports medical data management through natural language commands.

The openEHR MCP server project provides an interface service with the EHRbase REST API, supporting the management of electronic health record templates and composite data through the MCP protocol.

The DICOM MCP Server is a medical imaging AI integration tool based on the Model Context Protocol (MCP), which supports querying, reading, and transferring PACS (Picture Archiving and Communication System) data through AI assistants, with Orthanc as the reference implementation. The project integrates DICOM, FHIR, and a mini RIS database, providing comprehensive radiology workflow management, including image query, report generation, virtual device simulation, and report archiving.

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

FHIR medical data integration and clinical decision support system, providing multi-server FHIR interfaces, AI-driven clinical analysis, and patient care plan management

FHIR Careplan is a comprehensive FHIR server and toolkit that provides functions for medical data integration, patient care planning, and clinical decision support. The project includes a general FHIR MCP server and a tool library, supporting multi - server connection, AI clinical analysis, and patient data management.

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.