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Dicom MCP
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What is dicom-mcp?
dicom-mcp is a specialized server that allows AI systems to securely access and analyze medical imaging data stored in DICOM format. It acts as a bridge between AI assistants and hospital PACS systems, enabling querying of patient records, imaging studies, and clinical reports while maintaining DICOM security standards.How to use dicom-mcp?
After installation and configuration, you can interact with the server through supported AI platforms (like Claude or Zed) using natural language commands. The server handles the technical DICOM communications while you focus on the medical questions.Use Cases
Ideal for radiologists needing AI assistance, clinical researchers analyzing imaging databases, or healthcare AI developers building medical imaging applications. Common scenarios include patient record lookup, study comparison, and automated report analysis.Key Features
Comprehensive DICOM QueryingSearch across patient records, imaging studies, series and individual DICOM instances with flexible filtering options
Clinical Report ExtractionAutomatically extract text from PDF reports stored in DICOM format for AI analysis
Multiple PACS SupportConfigure and switch between different hospital PACS systems with different security requirements
Smart Attribute PresetsPredefined query templates (minimal/standard/extended) simplify accessing the most relevant DICOM metadata
Pros and Cons
Advantages
Standardized access to medical imaging data through DICOM protocols
No need to learn complex DICOM query syntax - use natural language
Secure connection following hospital PACS security requirements
Lightweight server that integrates with existing AI platforms
Limitations
Requires configuration by IT staff for hospital PACS connections
Limited to metadata and PDF extraction - doesn't process image pixels
Performance depends on PACS server response times
Currently supports only DICOM (not other medical data formats)
Getting Started
InstallationInstall the server using pip package manager
ConfigurationCreate a YAML configuration file with your PACS connection details (see example in Resources)
Launch ServerStart the server pointing to your configuration file
Connect AI PlatformConfigure your AI platform (Claude/Zed) to connect to the running server
Example Scenarios
Patient Record LookupFind all available information for a patient who may have multiple imaging studies
Report AnalysisExtract and analyze text from radiology reports
Study ComparisonCompare multiple studies for the same patient
Frequently Asked Questions
1
What DICOM servers are supported?Any standard DICOM server (Orthanc, dcm4chee, commercial PACS) that supports DIMSE protocols
2
Is patient data stored by the server?No, the server acts as a secure proxy - data remains in your PACS unless explicitly retrieved
3
Can I view actual medical images?The server handles metadata queries. For image viewing, you would need a separate DICOM viewer
4
How is patient privacy maintained?All connections use standard DICOM security (AE titles, optional TLS). No PHI is logged.
Additional Resources
Official DocumentationModel Context Protocol specification
Sample ConfigurationExample YAML configuration file
pynetdicom LibraryUnderlying DICOM library used by the server
DICOM Standard OverviewIntroduction to DICOM medical imaging standard
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