# mcp-server-jupyter

> Use this tool when you need to programmatically interact with Jupyter notebooks, enabling automation of tasks such as reading, editing, and executing cells. It solves problems related to workflow automation, data analysis, and machine learning pipeline integration. The tool accepts inputs via Claude and outputs executed cell results, making it ideal for use cases requiring dynamic notebook interaction.

Canonical page: https://skillsregistry.net/skills/ihrpr-mcp-server-jupyter  
JSON: https://api.skillsregistry.net/v1/skills/ihrpr-mcp-server-jupyter

## Description

Enables programmatic interaction with Jupyter notebooks, allowing reading, editing, and executing cells via Claude.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gnt8jtjda5)
- **Repository:** <https://github.com/ihrpr/mcp-server-jupyter>

## 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": "ihrpr-mcp-server-jupyter"
    }
  }
}
```

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