Enables AI assistants to query and analyze medical imaging metadata from DICOM servers, including patient information, studies, series, and instances, as well as extract text from encapsulated PDF documents.
Enables AI assistants to query, read, download, and move medical imaging data on DICOM servers (PACS, VNA) including patient searches, study retrieval, PDF report extraction, and image transfer to AI endpoints for analysis.
An MCP server that exposes a DICOMweb-compliant DICOM archive to AI assistants. It lets any MCP-capable client search studies, series and instances, inspect metadata, read Structured and Encapsulated PDF Reports, and render image frames — all through natural language.
Provides AI-powered medical image analysis tools for LLM agents, enabling tasks such as X-ray classification, interactive segmentation, and visual question answering. It supports multi-step diagnostic reasoning and clinical workflows through a suite of specialized medical AI models.
Enables standardized PACS-AI integration through the Model Context Protocol, providing medical imaging workflows with DICOMweb transport, hierarchical PHI de-identification, and AI model orchestration.