# universal-notebook-mcp

> universal-notebook-mcp — am-3-jupyter-mcp. Use this tool when you need to interact with Jupyter notebooks programmatically, enabling AI assistants to read, edit, and execute .ipynb files with live kernel output. It solves problems of JupyterLab dependency and limited notebook automation, providing a flexible interface for inputting notebook files and outputting executed results. Ideal for use cases requiring automated notebook execution, debugging, or integration with other AI workflows.

Canonical page: https://skillsregistry.net/skills/am-3-jupyter-mcp  
JSON: https://api.skillsregistry.net/v1/skills/am-3-jupyter-mcp

## Description

Enables AI assistants to read, edit, and execute Jupyter notebook files (.ipynb) with live kernel output, without requiring JupyterLab.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dxkochfgq8)
- **Repository:** <https://github.com/am-3/jupyter-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": "am-3-jupyter-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/am-3-jupyter-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/am-3-jupyter-mcp/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