# MCP-MedImg

> MCP-MedImg — xiong-shi-mcp-medimg. Use this tool when you need to integrate AI models with medical imaging workflows, requiring standardized PACS-AI connectivity and secure data transport. It solves problems related to DICOM image analysis, PHI de-identification, and model orchestration, providing a seamless interface for inputs like DICOM images and outputs like analyzed medical data. Ideal for healthcare applications, research, and clinical trials, MCP-MedImg streamlines medical imaging workflows with AI-driven insights.

Canonical page: https://skillsregistry.net/skills/xiong-shi-mcp-medimg  
JSON: https://api.skillsregistry.net/v1/skills/xiong-shi-mcp-medimg

## Description

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.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ckqqxywrow)
- **Repository:** <https://github.com/Xiong-Shi/MCP-MedImg>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "xiong-shi-mcp-medimg"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/xiong-shi-mcp-medimg` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/xiong-shi-mcp-medimg/pull`

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