What libraries does DICOM MCP Server build on?
It uses pynetdicom for DICOM networking and PyPDF2 for PDF text extraction.
@ChristianHinge
基本信息
Model Context Protocol (MCP) for interacting with dicom servers (PACS etc.)
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"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
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。
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.
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.
It uses pynetdicom for DICOM networking and PyPDF2 for PDF text extraction.
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.
Python 3.12+ and a running DICOM server (a sample Orthanc server is provided via Docker for testing).
Data remains on the DICOM server; the server only queries, reads, and moves data on that server.
Transport is over stdio (via MCP protocol). Authentication is handled by the DICOM AE title and node configuration defined in the YAML file.
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