dicom-mcp: [top rated oral EANM'25] Model Context Protocol (MCP) for interacting with dicom servers (PACS etc.)

by ChristianHinge · MCP Server · ★ 102

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install dicom-mcp

uv tool install dicom-mcp
git clone https://github.com/ChristianHinge/dicom-mcp

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 71/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

Quick Facts

Stars102
Forks30
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score71/100
Open Issues5
Last Updated2026-10-18
Created2025-03-11
Platformsmcp, python
Est. Tokens~15k

About dicom-mcp

DICOM MCP Server for Medical Imaging Systems 🏥 The server enables AI assistants to query, read, and move data on DICOM servers (PACS, VNA, etc.). 🤝 Contribute • 📝 Report Bug • 📝 Blog Post 1 text 🧑‍⚕️ User: "Any significant findings in John Doe's previous CT report?" 🧠 LLM → ⚙️ Tools: querypatients → querystudies → queryseries → extractpdftextfromdicom 💬 LLM Response: "The report from...

Compatible Skills

These tools work well together with dicom-mcp for enhanced workflows:

  • bloodhound_mcp — semantic(0.67)+same_lang+similar_pop+shared_platform (58%)
  • mcp-twikit — semantic(0.76)+same_lang+similar_pop+shared_platform (55%)
  • plane-mcp-server — semantic(0.57)+same_lang+similar_pop+shared_platform (55%)
  • kagimcp — semantic(0.56)+same_lang+similar_pop+shared_platform (55%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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