Awesome Medical Mcp Servers
What is Awesome Medical Mcp Servers
MCP, or Model Context Protocol, is an open protocol that facilitates secure interactions between AI models and local or remote resources via standardized server implementations. It enhances AI capabilities by allowing communication with various data sources such as databases, APIs, and file systems.
Use cases
MCP servers serve various purposes in the medical domain, including accessing and retrieving PubMed articles, facilitating medical calculations, and providing connections to health records. They can enhance AI models with features like protein structure analysis, DICOM interactions for medical imaging, and direct engagement with medical guidance from respected health organizations.
How to use
Users can interact with MCP servers by setting up compatible AI clients (like Claude Desktop) to connect through the Model Context Protocol. Tutorials are available online for quick starts and specific setups, such as integrating a SQLite database or using specialized servers for medical resources.
Key features
Key features of MCP include secure and standardized communication between AI and various medical data sources, accessibility to diverse healthcare tools, and the ability to perform complex tasks like medical calculations or image processing using natural language processing. MCP also allows customization to specific healthcare needs via different server implementations.
Where to use
MCP can be deployed in various healthcare settings, including research environments that require access to academic articles, clinical applications demanding integration with electronic medical records (EMRs), educational platforms needing medical content, and health tech applications focused on direct patient care and medical image processing.
Overview
What is Awesome Medical Mcp Servers
MCP, or Model Context Protocol, is an open protocol that facilitates secure interactions between AI models and local or remote resources via standardized server implementations. It enhances AI capabilities by allowing communication with various data sources such as databases, APIs, and file systems.
Use cases
MCP servers serve various purposes in the medical domain, including accessing and retrieving PubMed articles, facilitating medical calculations, and providing connections to health records. They can enhance AI models with features like protein structure analysis, DICOM interactions for medical imaging, and direct engagement with medical guidance from respected health organizations.
How to use
Users can interact with MCP servers by setting up compatible AI clients (like Claude Desktop) to connect through the Model Context Protocol. Tutorials are available online for quick starts and specific setups, such as integrating a SQLite database or using specialized servers for medical resources.
Key features
Key features of MCP include secure and standardized communication between AI and various medical data sources, accessibility to diverse healthcare tools, and the ability to perform complex tasks like medical calculations or image processing using natural language processing. MCP also allows customization to specific healthcare needs via different server implementations.
Where to use
MCP can be deployed in various healthcare settings, including research environments that require access to academic articles, clinical applications demanding integration with electronic medical records (EMRs), educational platforms needing medical content, and health tech applications focused on direct patient care and medical image processing.
Content
Awesome-Medical-MCP-Servers 
A collection of Medical MCP servers.
What is MCP?
MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized server implementations. This list focuses on production-ready and experimental MCP servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services.
Tutorials
Servers
- andybrandt/mcp-simple-pubmed - An MCP server that provides access to PubMed articles through the Entrez API.
- grll/pubmedmcp - A MCP server that allows to search and fetch articles from PubMed.
- rikachu225/mcp-pubmed-server - An MCP server implementation for accessing PubMed data with focus on open access content.
- jackkuo666/medrxiv-mcp-server - A bridge between AI assistants and medRxiv’s preprint repository through the Model Context Protocol (MCP).
- Kartha-AI/agentcare-mcp - A Model Context Protocol (MCP) server that provides healthcare tools and prompts for interacting with FHIR data and medical resources on EMRs like Cerner and Epic using Claude Desktop and Goose Desktop.
- ChristianHinge/dicom-mcp - A Model Context Protocol server for DICOM (Digital Imaging and Communications in Medicine) interactions.
- fluxinc/dicom-mcp-server - A Model Context Protocol (MCP) server for DICOM connectivity testing.
- acashmoney/bio-mcp - A Model Context Protocol (MCP) server designed to enhance large language models with protein structure analysis capabilities.
- chris-lovejoy/medical-mcp - A connector to allow Claude Desktop (or any MCP client) to access medical guidance from the National Institute for Health and Care Excellence (NICE).
- johnyquest7/Medical_calculator_MCP - An MCP server for medical calculations.
- zhaoyouj/mcp-slicer - MCP-Slicer connects 3D Slicer with model clients like Claude Desktop or Cline through the Model Context Protocol (MCP), enabling direct interaction and control of 3D Slicer. This integration allows for medical image processing, scene creation, and manipulation using natural language.
- ryoureddy/medadapt-content-server - A specialized Model Context Protocol (MCP) server for Claude Desktop that enhances AI-assisted medical learning by fetching and processing educational resources from PubMed, NCBI Bookshelf, and user-provided documents.
Acknowledgements
- @punkpeye for creating the original awesome-mcp-servers repository.