# Notebook MCP

> Use this tool when you need to analyze and understand Jupyter notebooks, as it provides AI assistants with deep semantic and runtime insights, enabling them to effectively process and generate notebook content. It solves problems related to notebook comprehension, execution, and automation, allowing for more efficient and accurate interactions. Ideal for use cases involving notebook-based data science, education, and research workflows.

Canonical page: https://skillsregistry.net/skills/akram-side-projects-notebook-mcp  
JSON: https://api.skillsregistry.net/v1/skills/akram-side-projects-notebook-mcp

## Description

Provides AI assistants with deep semantic and runtime understanding of Jupyter notebooks.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gobklhhpxz)
- **Repository:** <https://github.com/akram-side-projects/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": "akram-side-projects-notebook-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/akram-side-projects-notebook-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/akram-side-projects-notebook-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