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.

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.

DICOM-MCP is a DICOM server interaction tool based on the Model Context Protocol, supporting LLM access and analysis of medical imaging metadata.

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.