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shrutig1602

Orthanc DICOM + Nerve Segmentation MCP Server

by shrutig1602

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    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI assistants to query, read, download, and move medical imaging data on DICOM servers (PACS, VNA) including patient searches, study retrieval, PDF report extraction, and image transfer to AI endpoints for analysis.
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI assistants to query and analyze medical imaging metadata from DICOM servers, including patient information, studies, series, and instances, as well as extract text from encapsulated PDF documents.
      101
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      An MCP server that exposes a DICOMweb-compliant DICOM archive to AI assistants. It lets any MCP-capable client search studies, series and instances, inspect metadata, read Structured and Encapsulated PDF Reports, and render image frames — all through natural language.
      9
      33 npm
      4
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI coding agents to perform end-to-end medical image analysis locally, from inspecting CT/MRI/X-ray studies and running containerized segmentation models like MedSAM2, TotalSegmentator, and HD-BET to refining masks, measuring volumes, and writing reports. It pairs preset or custom guideline protocols with a code-customizable viewer that renders images back to agents as annotated PNGs and to humans as interactive HTML.
      2
      Apache 2.0