# vscode-notebook-mcp

> Use this tool when you need to integrate VSCode Jupyter notebooks with MCP-compatible AI agents, enabling seamless interaction and collaboration. It solves problems of kernel compatibility and cell execution, allowing agents to read, edit, and run cells. The tool takes Jupyter notebook cells as input and outputs executable code, ideal for use cases requiring AI-agent interaction with VSCode notebooks.

Canonical page: https://skillsregistry.net/skills/caryan-vscode-notebook-mcp  
JSON: https://api.skillsregistry.net/v1/skills/caryan-vscode-notebook-mcp

## Description

Exposes VSCode Jupyter notebooks to MCP-compatible AI agents, enabling them to read, edit, and run cells against the same kernel.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/i2pg1lfgtx)
- **Repository:** <https://github.com/caryan/vscode-notebook-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": "caryan-vscode-notebook-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/caryan-vscode-notebook-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/caryan-vscode-notebook-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