# ipynb-mcp

> Use this tool when you need to integrate AI agents with JupyterLab sessions, enabling them to drive local notebooks and interact with the Model Context Protocol. It solves problems of agent-agnostic interaction and remote notebook control, providing a standardized interface for AI agents to input commands and receive outputs. Ideal for use cases requiring seamless communication between AI agents and JupyterLab environments.

Canonical page: https://skillsregistry.net/skills/nils-holmberg-ipynb-mcp  
JSON: https://api.skillsregistry.net/v1/skills/nils-holmberg-ipynb-mcp

## Description

An agent-agnostic MCP server that lets any AI agent drive a local JupyterLab session via the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/g7n9io0zez)
- **Repository:** <https://github.com/nils-holmberg/ipynb-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": "nils-holmberg-ipynb-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nils-holmberg-ipynb-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nils-holmberg-ipynb-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