# jupyter-kernel-mcp

> Use this tool when you need to execute multi-language code in a persistent environment, solving problems like stateless interaction limitations and import duplication. It enables AI agents to run Python, TypeScript, and JavaScript code with stateful variables and imports across interactions. Ideal for use cases requiring sequential code execution and variable persistence, such as data science, machine learning, and interactive development.

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

## Description

Enables AI agents to execute Python, TypeScript, and JavaScript code in persistent Jupyter kernels with stateful variables and imports across interactions.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/s12g850rx3)
- **Repository:** <https://github.com/codewithcheese/jupyter-kernel-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": "codewithcheese-jupyter-kernel-mcp"
    }
  }
}
```

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