# easy-jupyter-editor-mcp

> Use this tool when you need to modify Jupyter Notebook files programmatically, to solve problems such as automating notebook updates, inserting new content, or removing existing cells, with inputs of .ipynb files and outputs of modified notebooks, while ensuring the integrity of the JSON structure. It provides a safe and structured editing interface for AI agents to read, edit, add, and delete cells. This tool is ideal for use cases where automated notebook editing is required, such as data science workflows or educational content creation.

Canonical page: https://skillsregistry.net/skills/cshara1-easy-jupyter-editor-mcp  
JSON: https://api.skillsregistry.net/v1/skills/cshara1-easy-jupyter-editor-mcp

## Description

Enables AI agents to safely and structurally edit Jupyter Notebook (.ipynb) files by providing tools to read, edit, add, and delete cells without corrupting the JSON structure.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tmbuzkw6ia)
- **Repository:** <https://github.com/cshara1/easy-jupyter-editor-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": "cshara1-easy-jupyter-editor-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cshara1-easy-jupyter-editor-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cshara1-easy-jupyter-editor-mcp/pull`

---
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