# VS Code Jupyter MCP Server

> VS Code Jupyter MCP Server — happypig375-vscode-jupyter-mcp-server. Use this tool when you need to automate Jupyter notebook management in VS Code, enabling seamless integration with external agents to run, edit, and create notebooks without user intervention. It solves problems related to headless notebook operations, approval dialogs, and compatibility with various MCP clients. The tool accepts input from MCP clients and outputs managed Jupyter notebook operations, making it ideal for automated workflows and testing scenarios.

Canonical page: https://skillsregistry.net/skills/happypig375-vscode-jupyter-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/happypig375-vscode-jupyter-mcp-server

## Description

Enables external agents to run, edit, create, and manage the Jupyter notebook the user is actively editing in VS Code, headlessly and without approval dialogs. Works with any MCP client and is Jupyter-optional for document operations.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vxjke6u6h5)
- **Repository:** <https://github.com/Happypig375/vscode-jupyter-mcp-server>

## 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": "happypig375-vscode-jupyter-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/happypig375-vscode-jupyter-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/happypig375-vscode-jupyter-mcp-server/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