# notebook-edit

> Use this tool when you need to manage and edit Jupyter notebook cells without executing kernel code, providing capabilities such as listing, reading, inserting, editing, patching, deleting, and moving cells. It solves problems related to notebook organization, cell manipulation, and version control. The tool accepts notebook cell inputs and returns edited or modified cell outputs, making it ideal for use cases requiring structural notebook editing.

Canonical page: https://skillsregistry.net/skills/tmlksu-nbedit-mcp  
JSON: https://api.skillsregistry.net/v1/skills/tmlksu-nbedit-mcp

## Description

MCP server for structural editing of Jupyter notebook cells (list, read, insert, edit, patch, delete, move) without kernel execution.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fc7lm4a5km)
- **Repository:** <https://github.com/tmlksu/nbedit-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": "tmlksu-nbedit-mcp"
    }
  }
}
```

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