What libraries does DICOM MCP Server build on?
It uses pynetdicom for DICOM networking and PyPDF2 for PDF text extraction.
@ChristianHinge
基本情報
Model Context Protocol (MCP) for interacting with dicom servers (PACS etc.)
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"dicom-mcp": {
"command": "uv",
"args": [
"tool",
"install",
"dicom-mcp"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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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