Awesome-Medical-MCP-Servers
by sunanhe
A curated collection of Medical MCP servers. These servers extend AI capabilities by enabling secure interaction with local and remote resources through standardized implementations, focusing on medical applications.
Last updated: N/A
What is Awesome-Medical-MCP-Servers?
This is a curated list of Medical Model Context Protocol (MCP) servers. MCP is an open protocol that allows AI models to securely interact with local and remote resources through standardized server implementations, enabling access to files, databases, APIs, and other contextual services.
How to use Awesome-Medical-MCP-Servers?
To use these servers, you'll need an MCP-compatible client, such as Claude Desktop. Each server provides specific functionalities, so refer to the individual server's documentation for usage instructions. The tutorials section provides helpful guides for getting started with MCP.
Key features of Awesome-Medical-MCP-Servers
Standardized protocol for AI model interaction
Secure access to local and remote resources
Integration with medical databases and APIs (e.g., PubMed, medRxiv)
Support for medical imaging (DICOM)
Access to healthcare tools and prompts for EMR interaction (e.g., Cerner, Epic)
Use cases of Awesome-Medical-MCP-Servers
Accessing and analyzing PubMed articles
Interacting with medical pre-print repositories
Connecting to FHIR data and medical resources on EMRs
Performing medical image analysis using DICOM
Enhancing LLMs with protein structure analysis
FAQ from Awesome-Medical-MCP-Servers
What is MCP?
What is MCP?
MCP stands for Model Context Protocol, an open protocol that enables AI models to securely interact with local and remote resources through standardized server implementations.
How do I get started with MCP?
How do I get started with MCP?
Refer to the tutorials section for quickstart guides and examples.
What kind of servers are included in this list?
What kind of servers are included in this list?
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 in the medical domain.
Can I contribute to this list?
Can I contribute to this list?
Yes! Contributions are welcome. Please submit a pull request with your additions.
What is the purpose of these MCP servers?
What is the purpose of these MCP servers?
These servers aim to bridge the gap between AI models and real-world medical data and tools, enabling more effective and informed AI applications in healthcare.