dicom-mcp-server
A server for managing contextual data in DICOM tools, supporting medical imaging and machine learning workflows.
Documentation
DICOM MCP Server
A Model Context Protocol (MCP) server for DICOM connectivity testing.
Prerequisites
1. Install UV (required):
pip install uvMake 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.pyThis will register the server with Claude for DICOM operations.
Running the Server
Direct Execution
uv run server.pyThrough 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 UV2. Ensure you're using a Python environment that's accessible to the system:
3. Try running the server with explicit UV path:
/full/path/to/uv run server.py4. 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")Frequently asked questions
What is dicom-mcp-server?
dicom-mcp-server is A server for managing contextual data in DICOM tools, supporting medical imaging and machine learning workflows.
How do I install dicom-mcp-server?
Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.
Is dicom-mcp-server open source?
Yes — it is hosted on GitHub at https://github.com/fluxinc/dicom-mcp-server and has 3 stars.
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