What are the prerequisites for the DICOM MCP Server?
You must install `uv` (pip install uv) and ensure it is available in your system’s PATH.
@fluxinc
基本信息
A server for managing contextual data in DICOM tools, supporting medical imaging and machine learning workflows.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"dicom-mcp-server": {
"command": "uv",
"args": [
"pip",
"install",
"mcp[cli]"
]
}
}
}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。
A Model Context Protocol (MCP) server for DICOM connectivity testing. It allows performing C‑ECHO operations either by referencing configured DICOM nodes from a YAML file or by specifying remote AE title, IP, and port directly.
Install uv and then run uv pip install mcp[cli] for a traditional setup, or mcp install server.py to register the server with Claude. Start the server with uv run server.py (defaults to 0.0.0.0:8080). Configuration is managed through a nodes.yaml file that stores DICOM node definitions and local AE titles.
nodes.yaml)You must install `uv` (pip install uv) and ensure it is available in your system’s PATH.
Run `mcp install server.py` to register the server with Claude. Claude will then manage the server automatically.
It stores DICOM node configurations (AE title, IP, port, description) and local AE titles, allowing you to reference nodes by name in C‑ECHO operations.
Ensure `uv` is installed and in your PATH (`which uv`), use an accessible Python environment, or run the server with an explicit path to `uv`.
The server offers three tools: `list_dicom_nodes()` to list configured nodes, `dicom_cecho_by_name()` to echo a named node, and `dicom_cecho()` for direct C‑ECHO with explicit parameters.
MCP Toolbox for Databases is an open source MCP server for databases.
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