dicom-mcp

dicom-mcp

3.5

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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

  1. list_dicom_nodes

    List all configured DICOM nodes and call AE titles

  2. switch_dicom_node

    Switch to a different configuration DICOM node

  3. switch_calling_aet

    Switch to a different call AE title

  4. verify_connection

    Test and configure connections to DICOM nodes

  5. query_patients

    Search for patients based on conditions

  6. query_studies

    Search for research based on conditions

  7. query_series

    Search series within the study

  8. query_instances

    Search for instances within the series

  9. get_attribute_presets

    List the attribute presets available for query

  10. retrieve_instance

    Retrieve a specific DICOM instance and save it to the local file system

  11. extract_pdf_text_from_dicom

    Extract text content from DICOM encapsulated PDF