# Antigravity Jupyter Notebook

> Use this tool when you need to interact with Jupyter notebooks in a controlled environment, solving problems such as reproducible data science workflows and collaborative coding. It provides an interface for reading, editing, and executing notebook cells, with inputs including notebook files and code cells, and outputs including execution results and updated notebooks. Ideal for data analysis, machine learning, and scientific computing use cases, this tool streamlines workflow management while maintaining security and kernel state.

Canonical page: https://skillsregistry.net/skills/ian747-tw-antigravity-jupyter  
JSON: https://api.skillsregistry.net/v1/skills/ian747-tw-antigravity-jupyter

## Description

Provides a comprehensive Jupyter notebook interface for the Antigravity IDE, exposing 10 tools over stdio transport. Agents can open notebooks, read and edit cells with automatic checkpointing, execute code cells individually or in ranges, and run tag-based pipeline stages while maintaining kernel state. All file paths are sandboxed to the workspace root for security, and only .ipynb files are permitted.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ian747-tw-antigravity-jupyter)
- **Repository:** <https://github.com/ian747-tw/antigravity-jupiter-notebook-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": "ian747-tw-antigravity-jupyter"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ian747-tw-antigravity-jupyter` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ian747-tw-antigravity-jupyter/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