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NyxToolsDev/dicom-hl7-mcp-server

by Various

DICOM/HL7 healthcare interoperability MCP server for Claude

N

MCP

NyxToolsDev/dicom-hl7-mcp-server

Added 1 June 2026

#claude #dicom #fhir #healthcare #hl7 #mcp #model-context-protocol #pacs

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_tag
  • explain_dicom_tag
  • parse_hl7_message
  • explain_hl7_segment
  • lookup_hl7_table
  • map_dicom_to_hl7
  • map_hl7_to_fhir
  • generate_mirth_channel
  • validate_hl7_message
  • explain_integration_pattern
  • decode_private_tags
  • generate_sample_message
  • pacs_echo
  • pacs_query
  • pacs_get_metadata
  • pacs_retrieve
  • pacs_study_summary
  • DICOM_HL7_LICENSE_KEY
  • DICOM_HL7_LOG_LEVEL
  • DICOM_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
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