# jupyter-mcp-server

> Use this tool when you need to manage Jupyter notebooks and collaborate with others in real-time, solving problems related to version control and simultaneous editing. It integrates with Git for seamless repository management, accepting notebook files and Git repository URLs as inputs and producing synchronized notebooks as outputs. Ideal for data scientists and developers working on collaborative projects, it streamlines the development and sharing of Jupyter notebooks.

Canonical page: https://skillsregistry.net/skills/chengjiale150-jupyter-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/chengjiale150-jupyter-mcp-server

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/ChengJiale150/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": "chengjiale150-jupyter-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chengjiale150-jupyter-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chengjiale150-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