dicom-mcp
If you are the rightful owner of dicom-mcp and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
The DICOM MCP Server facilitates AI assistants in querying, reading, and moving data on DICOM servers, such as PACS and VNA.
The DICOM MCP Server is a specialized tool designed to enhance the interaction between AI systems and DICOM servers, which are commonly used in medical imaging. It allows for efficient querying, reading, and transferring of DICOM data, enabling AI systems to access and process medical imaging data seamlessly. The server supports various operations such as querying metadata, reading DICOM reports, and sending DICOM images to other destinations. It is built with a focus on ease of integration and provides a robust set of utilities for managing DICOM connections. The server is not intended for clinical use and should be used with caution to avoid data privacy issues.
Features
- Query Metadata: Search for patients, studies, series, and instances using various criteria.
- Read DICOM Reports (PDF): Retrieve and extract text from DICOM instances containing encapsulated PDFs.
- Send DICOM Images: Transfer series or studies to other DICOM destinations for further processing.
- Utilities: Manage connections and understand query options with tools like list_dicom_nodes and verify_connection.
Tools
list_dicom_nodes
List all configured DICOM nodes and call AE titles
switch_dicom_node
Switch to a different configuration DICOM node
switch_calling_aet
Switch to a different call AE title
verify_connection
Test and configure connections to DICOM nodes
query_patients
Search for patients based on conditions
query_studies
Search for research based on conditions
query_series
Search series within the study
query_instances
Search for instances within the series
get_attribute_presets
List the attribute presets available for query
retrieve_instance
Retrieve a specific DICOM instance and save it to the local file system
extract_pdf_text_from_dicom
Extract text content from DICOM encapsulated PDF