# 3D Slicer

> Use this tool when you need to leverage AI assistants for medical image analysis, visualization, and manipulation tasks. It provides a bridge between AI agents and 3D Slicer, a popular medical imaging platform, allowing for listing and filtering of MRML nodes and execution of Python code. Ideal for medical professionals and researchers, it enables seamless integration of AI capabilities into their existing 3D Slicer workflow.

Canonical page: https://skillsregistry.net/skills/zhaoyouj-slicer  
JSON: https://api.skillsregistry.net/v1/skills/zhaoyouj-slicer

## Description

MCP-Slicer provides a bridge between AI assistants and 3D Slicer, a popular medical imaging platform, through the Slicer Web Server API. Developed by zhaoyouj, this server exposes two main tools: listing MRML nodes with filtering capabilities and executing Python code directly in the 3D Slicer environment. The implementation connects to a locally running Slicer instance on port 2016, making it ideal for medical professionals and researchers who want to leverage AI assistants for medical image analysis, visualization, and manipulation tasks without leaving their workflow.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/zhaoyouj-slicer)
- **Repository:** <https://github.com/zhaoyouj/mcp-slicer>

## 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": "zhaoyouj-slicer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zhaoyouj-slicer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zhaoyouj-slicer/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