# jupyter-kernel-mcp

> Use this tool when you need to integrate AI assistants with Jupyter Notebooks, enabling execution and management of notebooks via ZMQ protocol. It solves problems of notebook automation and interaction, allowing AI agents to read, create, edit, and execute notebooks as MCP tools. Ideal for use cases requiring seamless interaction between AI assistants and Jupyter Notebooks, with inputs including notebook files and outputs including execution results.

Canonical page: https://skillsregistry.net/skills/qtalen-jupyter-kernel-mcp  
JSON: https://api.skillsregistry.net/v1/skills/qtalen-jupyter-kernel-mcp

## Description

An MCP server that connects directly to a Jupyter kernel via ZMQ, enabling AI assistants to read, create, edit, execute, and manage Jupyter Notebooks as MCP tools.

## 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:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ogwnx8o6gl)
- **Repository:** <https://github.com/qtalen/jupyter-mcp-kernel>

## 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": "qtalen-jupyter-kernel-mcp"
    }
  }
}
```

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