DICOM MCP Server for Medical Imaging Systems 🏥

Name: DICOM MCP Server for Medical Imaging Systems 🏥
Author: ChristianHinge

@ChristianHinge

代码仓库

关于 DICOM MCP Server for Medical Imaging Systems 🏥

Model Context Protocol (MCP) for interacting with dicom servers (PACS etc.)

基本信息

分类

其他

许可证

MIT

运行时

python

传输方式

stdio

发布者

ChristianHinge

提交者

Christian Hinge

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "dicom-mcp": {
      "command": "uv",
      "args": [
        "tool",
        "install",
        "dicom-mcp"
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is DICOM MCP Server?

The DICOM MCP Server enables AI assistants to query, read, and send data on DICOM servers such as PACS and VNA. It provides tools for metadata exploration, PDF report extraction, and DICOM image movement, designed for medical imaging workflows.

How to use DICOM MCP Server?

Install via uv tool install dicom-mcp. Create a YAML configuration file defining DICOM nodes and the calling AE title. Add the server to your MCP client configuration (e.g., claude_desktop_config.json) using uvx dicom-mcp /path/to/your_config.yaml. Tools are invoked by the AI assistant after configuration.

Key features of DICOM MCP Server

Query patients, studies, series, and instances by multiple criteria.
Extract text from encapsulated PDFs within DICOM instances.
Send series or studies to other DICOM nodes using C-MOVE.
List, switch, and verify connectivity to configured DICOM nodes.
Choose metadata detail levels (minimal, standard, extended).

Use cases of DICOM MCP Server

An AI assistant queries a patient’s studies and extracts a PDF report to summarize findings.
A CT series is moved to a segmentation node for volume calculation and results retrieval.
Chain query and move tools to compare past and current radiological measurements.

FAQ from DICOM MCP Server

What libraries does DICOM MCP Server build on?

It uses pynetdicom for DICOM networking and PyPDF2 for PDF text extraction.

Is DICOM MCP Server safe for clinical use?

No. It is not meant for clinical use and should not be connected to live hospital databases or systems with patient-sensitive data due to risk of data loss or leakage.