Medical Mcp
What is Medical Mcp
medical-mcp is a fully agentic demo designed for a medical imaging assistant that utilizes dicom-mcp for handling medical imaging data.
Use cases
Use cases for medical-mcp include assisting radiologists in image analysis, providing educational tools for medical students, and facilitating research in medical imaging technologies.
How to use
To use medical-mcp, start by launching the orthanc container. If it’s your first time, run the script ‘sh orthanc/upload_data.sh’ to upload necessary data.
Key features
Key features of medical-mcp include integration with dicom-mcp for medical imaging, a user-friendly interface for managing images, and the ability to process and analyze medical data efficiently.
Where to use
medical-mcp can be used in various fields such as healthcare, radiology, and medical research, where medical imaging plays a crucial role.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Medical Mcp
medical-mcp is a fully agentic demo designed for a medical imaging assistant that utilizes dicom-mcp for handling medical imaging data.
Use cases
Use cases for medical-mcp include assisting radiologists in image analysis, providing educational tools for medical students, and facilitating research in medical imaging technologies.
How to use
To use medical-mcp, start by launching the orthanc container. If it’s your first time, run the script ‘sh orthanc/upload_data.sh’ to upload necessary data.
Key features
Key features of medical-mcp include integration with dicom-mcp for medical imaging, a user-friendly interface for managing images, and the ability to process and analyze medical data efficiently.
Where to use
medical-mcp can be used in various fields such as healthcare, radiology, and medical research, where medical imaging plays a crucial role.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
- Start the orthanc container
- (if first time) sh orthanc/upload_data.sh
Change the ORTHANC_IP in the monai-deploy/.env file
Likewise change the “DicomModalities”: “MONAI-DEPLOY”: IP to match the monai-deploy
This will send CT series to MONAI-DEPLOY
movescu -S -aec ORTHANC localhost 4242 -aem MONAI-DEPLOY -k QueryRetrieveLevel=SERIES -k PatientID=Anon001 -k StudyInstanceUID= -k Modality= -k SeriesInstanceUID=2.25.277176293157759780141760041699188966257
ensure default shared memory size >=1gb in docker daemon
register totalseg_workflow.json with curl
curl --request POST --header ‘Content-Type: application/json’ --data “@totalseg_workflow.json” http://localhost:5001/workflows
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
