# Agentic Jupyter MCP

> Agentic Jupyter MCP — koyo922-agentic-jupyter-mcp. Use this tool when you need to integrate AI agents with Jupyter Notebooks for enhanced data analysis and automation. It solves problems of manual data transfer and agent-notebook interaction by providing a direct control interface. The Agentic Jupyter MCP extension takes Jupyter Notebook tabs as input and outputs controlled AI agent interactions, ideal for use cases requiring seamless human-AI collaboration in data science workflows.

Canonical page: https://skillsregistry.net/skills/koyo922-agentic-jupyter-mcp  
JSON: https://api.skillsregistry.net/v1/skills/koyo922-agentic-jupyter-mcp

## Description

VS Code extension that bridges local Jupyter Notebooks with AI Agents via MCP, enabling direct control of the active notebook tab.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/r8f27m8zta)
- **Repository:** <https://github.com/koyo922/agentic-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": "koyo922-agentic-jupyter-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/koyo922-agentic-jupyter-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/koyo922-agentic-jupyter-mcp/pull`

---
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