DICOM MCP Server enables AI assistants to interact with medical imaging systems through standard DICOM networking protocols. It provides tools for querying patient information, studies, series, and instances from DICOM servers, as well as extracting text from encapsulated PDF documents stored in DICOM format. Built on pynetdicom, the server supports multiple DICOM nodes, configurable calling AE titles, and various attribute presets for different query levels, making it particularly valuable for medical professionals and researchers who need to access and analyze medical imaging metadata without leaving their AI assistant conversation.
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Search for patients based on criteria like name, ID, or birth date.
Find studies using patient ID, date, modality, description, accession number, or Study UID.
Locate series within a specific study using modality, series number/description, or Series UID.
Find individual instances (images/objects) within a series using instance number or SOP Instance UID.
Retrieve a specific DICOM instance containing an encapsulated PDF and extract its text content.
Send a specific DICOM series to another configured DICOM node using C-MOVE.
Send an entire DICOM study to another configured DICOM node using C-MOVE.
Show the currently active DICOM node and list all configured nodes.
Change the active DICOM node for subsequent operations.
Test the DICOM network connection to the currently active node using C-ECHO.
List the available levels of detail (minimal, standard, extended) for metadata query results.
