NyxToolsDev/dicom-hl7-mcp-server
by Various
DICOM/HL7 healthcare interoperability MCP server for Claude
MCP
NyxToolsDev/dicom-hl7-mcp-server
Added 1 June 2026
Overview
This is an MCP server that enables Claude to interact with DICOM and HL7 healthcare data. It provides tools for querying, retrieving, and manipulating medical imaging and health information exchange standards through a Python-based server.
Best for
Best for
Developers building healthcare AI assistants that need to access DICOM and HL7 data
Use cases
- Query DICOM medical imaging archives from Claude
- Retrieve and process HL7 health data messages
- Integrate healthcare interoperability workflows with AI assistants
How to use
Install
pip install dicom-hl7-mcp Tools exposed
lookup_dicom_tagexplain_dicom_tagparse_hl7_messageexplain_hl7_segmentlookup_hl7_tablemap_dicom_to_hl7map_hl7_to_fhirgenerate_mirth_channelvalidate_hl7_messageexplain_integration_patterndecode_private_tagsgenerate_sample_messagepacs_echopacs_querypacs_get_metadatapacs_retrievepacs_study_summaryDICOM_HL7_LICENSE_KEYDICOM_HL7_LOG_LEVELDICOM_HL7_PACS_AE_TITLE
Tested with
Claude Desktop
Notes
This is an MCP server that enables Claude to interact with DICOM and HL7 healthcare data. It provides tools for querying, retrieving, and manipulating medical imaging and health information exchange standards through a Python-based server.
3 stars on GitHub. Last updated 2026-04-06. Licensed MIT.
Use cases
- Query DICOM medical imaging archives from Claude
- Retrieve and process HL7 health data messages
- Integrate healthcare interoperability workflows with AI assistants
Pros
- Enables direct healthcare data access from Claude
- Supports both DICOM and HL7 standards
- Open source Python implementation
Cons
- Very low community adoption (3 stars)
- Limited documentation and support
- Requires healthcare infrastructure to be useful
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Enables direct healthcare data access from Claude
- Supports both DICOM and HL7 standards
- Open source Python implementation
Cons
- Very low community adoption (3 stars)
- Limited documentation and support
- Requires healthcare infrastructure to be useful
Pairs with
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