# NiChart DLMUSE MCP

> NiChart DLMUSE MCP — euroso97-dlmuse-mcp. Use this tool when you need to automate MRI skull-strip and MUSE ROI segmentation tasks, leveraging remote GPU processing for efficient computation. It solves problems related to medical image analysis by providing a scalable and asynchronous job processing solution. The tool accepts MRI scans as input and outputs segmented images, ideal for use cases requiring rapid and accurate image processing in medical research or clinical settings.

Canonical page: https://skillsregistry.net/skills/euroso97-dlmuse-mcp  
JSON: https://api.skillsregistry.net/v1/skills/euroso97-dlmuse-mcp

## Description

Hosts T1 MRI skull-strip and MUSE ROI segmentation as an MCP server, enabling Claude Code to run segmentations on a remote GPU instance via SSH tunnel with async job processing.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mtn59nuzmo)
- **Repository:** <https://github.com/euroso97/DLMUSE_MCP>

## 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": "euroso97-dlmuse-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/euroso97-dlmuse-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/euroso97-dlmuse-mcp/pull`

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