# Jupyter MCP Server

> Use this tool when you need to manage Jupyter Notebooks programmatically, enabling real-time cell operations, execution, and multimodal outputs for AI-driven workflows. It solves problems of automated notebook management, dynamic content generation, and interactive AI applications. The Jupyter MCP Server takes AI requests as input and returns executable notebook outputs, ideal for use cases requiring dynamic computation and visualization.

Canonical page: https://skillsregistry.net/skills/atemmeta-jupyter-mcp-server-new  
JSON: https://api.skillsregistry.net/v1/skills/atemmeta-jupyter-mcp-server-new

## Description

An MCP server that enables AI to connect and manage Jupyter Notebooks in real-time, with support for cell operations, execution, and multimodal outputs.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ml8abi41gr)
- **Repository:** <https://github.com/ATEMMETA/Jupyter-MCP-Server-New>

## 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": "atemmeta-jupyter-mcp-server-new"
    }
  }
}
```

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