What is the DICOM-MCP server?

The DICOM-MCP server is an implementation of the Model Context Protocol (MCP) designed to facilitate interaction between AI models and DICOM medical images, enabling AI-powered diagnostics and research.

What are DICOM images?

DICOM (Digital Imaging and Communications in Medicine) is the standard for storing and transmitting medical images.

What is the Model Context Protocol (MCP)?

MCP is an open protocol that standardizes how applications provide context to Large Language Models (LLMs).

What resources does the DICOM-MCP server provide?

The server provides a custom note storage system with a note:// URI scheme for accessing individual notes. Each note contains a name, description, and text/plain content.

What prompts does the server offer?

The server offers a summarize-notes prompt that creates summaries of all stored notes, with an optional “style” argument for detail level.

What tools are implemented in the server?

The server implements an add-note tool to add new notes to the server, requiring “name” and “content” as arguments.

How can I debug the DICOM-MCP server?

For the best debugging experience, use the MCP Inspector.

How does the DICOM-MCP integrate with UBOS?

The DICOM-MCP server can be integrated with UBOS, allowing seamless data integration and custom AI Agent development for medical imaging tasks.

What are the key use cases of the DICOM-MCP server?

Key use cases include AI-assisted diagnostics, personalized treatment planning, medical image analysis for research, remote radiology, and improved medical education.

How do I install the DICOM-MCP server?

Follow the provided installation instructions, which include details for both development and published server configurations.

What is UBOS?

UBOS is a full-stack AI Agent Development Platform that helps you orchestrate AI Agents, connect them with your enterprise data, and build custom AI Agents with your LLM model and Multi-Agent Systems.

Where can I find the MCP Inspector?

You can find the MCP Inspector at https://github.com/modelcontextprotocol/inspector.