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
Basic information
A server for managing contextual data in DICOM tools, supporting medical imaging and machine learning workflows.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"dicom-mcp-server": {
"command": "uv",
"args": [
"pip",
"install",
"mcp[cli]"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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.
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