# jupyter_mcp

> jupyter_mcp — liu-eroteme-jupyter-mcp. Use this tool when you need to manage and optimize code execution in Jupyter notebooks, solving problems of redundant computation and cluttered outputs. It enables agents to track dependencies, execute code with minimal re-execution, and condense outputs, taking in kernel-attached inputs and producing streamlined results. Ideal for use cases requiring efficient and organized code management in Jupyter environments.

Canonical page: https://skillsregistry.net/skills/liu-eroteme-jupyter-mcp  
JSON: https://api.skillsregistry.net/v1/skills/liu-eroteme-jupyter-mcp

## Description

Kernel-attached MCP server for Jupyter notebooks, enabling agents to manage cells, track dependencies, and execute code with minimal re-execution and condensed outputs.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/b7q1grtraw)
- **Repository:** <https://github.com/Liu-Eroteme/jupyter_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": "liu-eroteme-jupyter-mcp"
    }
  }
}
```

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