# DICOM Viewer

> Use this tool when you need to visualize and analyze medical imaging data stored in DICOM files. It solves the problem of converting and viewing DICOM files by providing an interactive web-based interface with navigation controls and metadata display. The tool takes DICOM files as input and outputs PNG images, making it ideal for medical professionals and researchers who need to review and annotate medical images in a user-friendly format.

Canonical page: https://skillsregistry.net/skills/thalesmms-dicom-viewer  
JSON: https://api.skillsregistry.net/v1/skills/thalesmms-dicom-viewer

## Description

Converts DICOM medical imaging files into PNG format and serves them through an interactive web-based viewer with navigation controls, zoom/pan functionality, and metadata display.

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/thalesmms-dicom-viewer)
- **Repository:** <https://github.com/thalesmms/dicom-viewer-mcp-app>

## 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": "thalesmms-dicom-viewer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/thalesmms-dicom-viewer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/thalesmms-dicom-viewer/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt