# JupyterMCP

> Use this tool when you need to integrate AI-driven automation into your data science workflows, enabling direct control and code execution within Jupyter Notebooks. JupyterMCP solves problems of manual code execution and facilitates seamless interaction between Jupyter Notebooks and Claude AI. It takes Jupyter Notebook code as input and outputs executed results, ideal for use cases requiring automated data analysis and processing.

Canonical page: https://skillsregistry.net/skills/jjsantos01-jupyter-notebook-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jjsantos01-jupyter-notebook-mcp

## Description

Connects Jupyter Notebook to Claude AI for direct notebook control and code execution.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-05-27

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/e3kltvve2q)
- **Repository:** <https://github.com/jjsantos01/jupyter-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": "jjsantos01-jupyter-notebook-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jjsantos01-jupyter-notebook-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jjsantos01-jupyter-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