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2025-02-28

Un servidor para administrar datos contextuales en herramientas DICOM, admitiendo imágenes médicas y flujos de trabajo de aprendizaje automático.

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DICOM MCP Server

A Model Context Protocol (MCP) server for DICOM connectivity testing.

Prerequisites

  1. Install UV (required):
    pip install uv
    
    Make sure uv is available in your system PATH as it's required for Claude to properly execute the server.

Installation

There are two ways to set up the server:

1. Traditional Setup

Install the required dependencies:

uv pip install mcp[cli]

2. MCP Installation (Recommended)

To use this server with Claude's Model Context Protocol:

mcp install server.py

This will register the server with Claude for DICOM operations.

Running the Server

Direct Execution

uv run server.py

Through Claude

Once installed via MCP, the server will be automatically managed by Claude when needed.

The server will start on 0.0.0.0:8080 by default.

Node Configuration

The server uses a nodes.yaml file to store DICOM node configurations. This allows you to:

  1. List all configured DICOM nodes
  2. Perform C-ECHO operations using node names instead of explicit AE titles, IPs, and ports
  3. Use different local AE titles for C-ECHO operations

nodes.yaml Format

nodes:
  # Example node configuration
  main_pacs:
    ae_title: DESTINATION
    ip: 192.168.1.100
    port: 104
    description: "Main hospital PACS system"

local_ae_titles:
  - name: default
    ae_title: MCP_DICOM
    description: "Default AE title for MCP DICOM server"
  
  - name: pacs_gateway
    ae_title: PACS_GATEWAY
    description: "PACS Gateway AE title"

Troubleshooting

If you encounter the "spawn uv ENOENT" error, it typically means one of the following:

  1. UV is not installed or not in your PATH
  2. The Python executable cannot be found by the MCP client

Solutions:

  1. Make sure UV is properly installed and in your PATH:

    which uv  # Should show the path to UV
    
  2. Ensure you're using a Python environment that's accessible to the system:

    • If using a virtual environment, make sure it's activated
    • Check that Python is in your PATH
  3. Try running the server with explicit UV path:

    /full/path/to/uv run server.py
    
  4. Add more debugging by checking the stderr output in the logs

Usage

The server provides several DICOM tools that can be used through the MCP interface:

List DICOM Nodes

List all configured DICOM nodes from the nodes.yaml file:

list_dicom_nodes()

C-ECHO by Node Name

Perform a C-ECHO operation using a node name from the configuration:

dicom_cecho_by_name(node_name="main_pacs", local_ae_name="default")

Direct C-ECHO

Perform a C-ECHO operation with explicit parameters:

dicom_cecho(remote_ae_title="REMOTE_AE", ip="192.168.1.100", port=104, local_ae_title="MCP_DICOM")

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    Reviews

    1 (1)
    Avatar
    user_ZeNIcLhu
    2025-04-18

    The dicom-mcp-server by fluxinc is an outstanding tool for handling DICOM files. It streamlines the process of managing and transferring medical images, making it incredibly efficient for healthcare providers. The user-friendly interface and robust performance are highly commendable. Check it out at https://github.com/fluxinc/dicom-mcp-server!