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ChristianHinge/dicom-mcp

ChristianHinge/dicom-mcp

🐍 ☁️ 🏠 - DICOM integration to query, read and move medical images and reports from PACS and other…
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官方说明🐍 ☁️ 🏠 - DICOM integration to query, read and move medical images and reports from PACS and other DICOM-compliant systems.
配置模板(请按你的客户端调整)
claude mcp add dicom-mcp -- npx -y dicom-mcp
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
102 ★ · ChristianHinge/dicom-mcp · 取自该仓库的 GitHub 页面 · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 10 个来源列出
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综合分 1,003 · 102 ★ · 10 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 ChristianHinge/dicom-mcp;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

DICOM MCP Server for Medical Imaging Systems 🏥

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

The dicom-mcp server enables AI assistants to query, read, and move data on DICOM servers (PACS, VNA, etc.).
🤝 **Contribute** •
📝 **Report Bug** •
📝 **Blog Post 1**
✨ Core Capabilities
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 endpoints for image segmentation, classification, etc.
* **⚙️ Utilities**: Manage connections and understand query options.
🚀 Quick Start
📥 Installation
Install using uv or pip:
Or by cloning the repository:
⚙️ Configuration
dicom-mcp requires a YAML configuration file (config.yaml or similar) defining DICOM nodes and calling AE titles. Adapt the configuration or keep as is for compatibility with the sample ORTHANC Server.
> [!WARNING]
DICOM-MCP is not meant for clinical use, and should not be connected with live hospital databases or databases with patient-sensitive data. Doing so could lead to both loss of patient data, and leakage of patient data onto the internet. DICOM-MCP can be used with locally hosted open-weight LLMs for complete data privacy.
(Optional) Sample ORTHANC server
If you don't have a DICOM server available, you can run a local ORTHANC server using Docker:
Clone the repository and install test dependencies pip install -e ".[dev]
UI at http://localhost:8042
🔌 MCP Integration
Add to your client configuration (e.g. claude_desktop_config.json):
For development:
🛠️ Tools Overview
dicom-mcp provides four categories of tools for interaction with DICOM servers and DICOM data.
🔍 Query Metadata
* **query_patients**: Search for patients based on criteria like name, ID, or birth date.
* **query_studies**: Find studies using patient ID, date, modality, description, accession number, or Study UID.
* **query_series**: Locate series within a specific study using modality, series number/description, or Series UID.
* **query_instances**: Find individual instances (images/objects) within a series using instance number or SOP Instance UID
📄 Read DICOM Reports (PDF)
* **extract_pdf_text_from_dicom**: Retrieve a specific DICOM instance containing an encapsulated PDF and extract its text content.
➡️ Send DICOM Images
* **move_series**: Send a specific DICOM series to another configured DICOM node using C-MOVE.
* **move_study**: Send an entire DICOM study to another configured DICOM node using C-MOVE.
⚙️ Utilities
来源
awesome · https://github.com/ChristianHinge/dicom-mcp
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