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dicom-mcp MCP Server

ChristianHinge/dicom-mcp

Score: 64.5 Rank #5159 MCP Server
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Model Context Protocol (MCP) for interacting with dicom servers (PACS etc.)

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Overview

ChristianHinge/dicom-mcp is a Python MCP server licensed under MIT. Model Context Protocol (MCP) for interacting with dicom servers (PACS etc.)

Ranked #5159 out of 24846 indexed tools.

Ecosystem

Python MIT 187 pypi/wk

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 101

101 stars → growing community

Freshness 25% 22d ago

Last commit 22d ago → recently updated

Issue Health 25% 29%

2/7 issues closed → many open issues

Contributors 10% 5

5 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads 13% 187/wk

187 weekly installs → early adoption

Forks 29
Description Good
License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

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Issue Health high impact

You have 5 open vs 2 closed issues — triaging stale issues improves health

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

Install in your agent

claude mcp add dicom-mcp -- uvx dicom_mcp
codex mcp add dicom-mcp -- uvx dicom_mcp
{"mcpServers":{"dicom-mcp":{"command":"uvx","args":["dicom_mcp"]}}}
hermes mcp add dicom-mcp --command uvx --args dicom_mcp

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Matched Queries

"model context protocol""model-context-protocol"

From the README

# DICOM MCP Server for Medical Imaging Systems 🏥

    

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

<div align="center">

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

</div>

```text
---------------------------------------------------------------------
🧑‍⚕️ 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 segment
Read full README on GitHub →

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