DICOM MCP

DICOM MCP bridges Claude to medical imaging infrastructure, specifically PACS (Picture Archiving and Communication Systems) and VNA (Vendor Neutral Archives). If you work in radiology IT, clinical informatics, or build tools for healthcare, this is a rare piece of kit that speaks the DICOM protocol natively from an LLM context. What it actually does: query patient metadata, search for studies by modality or date range, retrieve imaging reports, and move DICOM datasets between nodes. I'd reach for this when prototyping a clinical AI assistant that needs to pull radiology reports or verify whether a patient's CT scan exists in the archive. The server handles C-FIND, C-MOVE, and C-GET operations, which are the bread and butter of DICOM networking. The standout use case is conversational PACS querying. Instead of wrestling with clunky vendor UIs, you can ask Claude to find all chest X-rays for a patient in the last six months, then pull the associated reports. It's particularly useful for audit workflows, where you need to trace imaging studies across multiple systems, or for building custom dashboards that aggregate data from legacy PACS that lack modern APIs. Quirks: you need a DICOM server to point it at, obviously. This isn't a toy you can demo without access to a real or simulated PACS. The repo doesn't include a test server, so if you're not already in a healthcare environment, setup friction is high. Also, DICOM networking is famously finicky. Expect to wrangle AE titles, ports, and firewall rules. The server itself is straightforward, but the ecosystem it plugs into is not. Who shouldn't bother: anyone outside healthcare or medical imaging. If you're not dealing with DICOM datasets daily, this is too niche. Also, if you're looking for image analysis (segmentation, detection), this server doesn't do that. It's purely for metadata and report retrieval, not pixel-level work. Documentation is minimal. The README covers installation but assumes you know your way around DICOM. If you're new to medical imaging protocols, budget time for learning the underlying standards. For those already fluent, though, this is a clean, focused tool that does exactly what it says.