ChristianHinge/dicom-mcp

Overview

A Model Context Protocol (MCP) server that enables AI agents to query and retrieve medical images from DICOM servers (PACS). It wraps standard DICOM networking protocols into a tool-calling interface for LLMs.

Best for

Best for
Developers building AI assistants for radiology or medical imaging workflows

Use cases

• Query PACS for patient studies by ID or date range
• Retrieve DICOM images for automated analysis or reporting
• Integrate medical imaging workflows with AI assistants

Notes

A Model Context Protocol (MCP) server that enables AI agents to query and retrieve medical images from DICOM servers (PACS). It wraps standard DICOM networking protocols into a tool-calling interface for LLMs.

96 stars on GitHub. Last updated 2025-12-15. Licensed MIT.

Use cases

• Query PACS for patient studies by ID or date range
• Retrieve DICOM images for automated analysis or reporting
• Integrate medical imaging workflows with AI assistants

Pros

• Bridges medical imaging systems with LLM tool use
• Open source with active community (96 stars)
• Python-based, easy to extend or embed

Cons

• Requires access to a DICOM server (PACS) to be useful
• Limited to query/retrieve operations, no write or delete
• Niche use case outside healthcare IT

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.