dicom-mcp

[](https://opensource.org/licenses/MIT) [](https://www.python.org/downloads/) [](https://pypi.org/project/dicom-mcp/) [](https://pypi.org/project/dicom-mcp/)

The dicom-mcp server enables AI assistants to query, read, and move data on DICOM servers (PACS, VNA, etc.).

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🤝 [Contribute](#contributing) • 📝 [Report Bug](https://github.com/ChristianHinge/dicom-mcp/issues) • 📝 [Blog Post 1](https://www.christianhinge.com/projects/dicom-mcp/)

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🧑‍⚕️ User: "Any significant findings in John Doe's previous CT report?"

🧠 LLM → ⚙️ Tools:
   query_patients → query_studies → query_series → extract_pdf_text_from_dicom

💬 LLM Response: "The report from 2025-03-26 mentions a history of splenomegaly (enlarged spleen)"

🧑‍⚕️ User: "What's the volume of his spleen at the last scan and the scan today?"

🧠 LLM → ⚙️ Tools:
   (query_studies → query_series → move_series → query_series → extract_pdf_text_from_dicom) x2
   (The move_series tool sends the latest CT to a DICOM segmentation node, which returns volume PDF report)

💬 LLM Response: "last year 2024-03-26: 412cm³, today 2025-04-10: 350cm³"
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dicom-mcp provides tools to:

• 🔍 Query Metadata: Search for patients, studies, series, and instances using various criteria.
• 📄 Read DICOM Reports (PDF): Retrieve DICOM instances containing encapsulated PDFs (e.g., clinical reports) and extract the text content.
• ➡️ Send DICOM Images: Send series or studies to other DICOM destinations, e.g. AI