# mcp-nv-segment-ctmr

> mcp-nv-segment-ctmr — hmgill-mcp-nv-segment-ctmr. Use this tool when you need to segment anatomical structures in 3D medical images, such as CT or MR volumes, using natural language commands. It solves problems related to medical image analysis by providing accurate and efficient segmentation of specific structures. The tool takes in natural language inputs and outputs segmented 3D medical images, making it ideal for use cases where automated image analysis is required.

Canonical page: https://skillsregistry.net/skills/hmgill-mcp-nv-segment-ctmr  
JSON: https://api.skillsregistry.net/v1/skills/hmgill-mcp-nv-segment-ctmr

## Description

MCP server for NVIDIA's NV-Segment-CTMR 3D medical image segmentation, enabling anatomical structure segmentation of CT/MR volumes via natural language tool calls.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/k2n97u60nj)
- **Repository:** <https://github.com/hmgill/MCP-NV-Segment-CTMR>

## 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": "hmgill-mcp-nv-segment-ctmr"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hmgill-mcp-nv-segment-ctmr` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hmgill-mcp-nv-segment-ctmr/pull`

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