# ipython-kernel

> Use this tool when you need to execute code in a shared environment, allowing for seamless integration with your IDE and enabling collaborative coding and debugging. It solves problems of inconsistent environments and facilitates persistent code execution, making it ideal for development and testing use cases. The ipython-kernel tool takes in code inputs and outputs execution results, providing a unified interface for coding and experimentation.

Canonical page: https://skillsregistry.net/skills/gabiteodoru-ipython-mcp  
JSON: https://api.skillsregistry.net/v1/skills/gabiteodoru-ipython-mcp

## Description

An MCP server that connects to existing IPython kernels, allowing Claude to execute code in a shared persistent environment with your IDE.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nytxby9qsf)
- **Repository:** <https://github.com/gabiteodoru/ipython-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": "gabiteodoru-ipython-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gabiteodoru-ipython-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gabiteodoru-ipython-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