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ChristianHinge/dicom-mcp

⭐ 99 Python added to this list on 2025-05-06 repository created 2025-03-11

dicom-mcp lets an assistant query, read and move data on DICOM servers such as a PACS or VNA — the archives where hospitals store medical images and reports. Its tools follow the DICOM information hierarchy, which is what makes a clinical question answerable in steps: query_patients finds a patient, query_studies lists that patient's imaging studies, query_series lists the series within a study, and further tools retrieve or move the data. A notable addition is extracting text from PDF documents stored as DICOM objects, which is how radiology reports are commonly archived — so the assistant can read the actual report narrative rather than only the image metadata. The README gives a representative exchange: asked whether there were significant findings in a patient's previous CT report, the model chains the query tools and then extracts the report text, answering with the finding it contains. It is a Python project requiring 3.12 or newer, published on PyPI as dicom-mcp and MIT licensed. Two things follow from the domain rather than the code: this touches patient data, so deployment sits inside whatever regulatory regime applies, and it is a research and tooling project, not a certified medical device. The audience is medical imaging researchers and clinical informatics teams.

https://github.com/ChristianHinge/dicom-mcp

mcpdicompacsmedical-imagingpythonradiologyhealthcare