# jupyter-lineage-mcp

> jupyter-lineage-mcp — aakashkh-jupyter-lineage-mcp. Use this tool when you need to track static data lineage in Jupyter notebooks and Python ETL jobs, solving problems of data origin and movement transparency. It takes in Jupyter notebooks and Python ETL jobs as inputs and outputs a visual representation of data lineage, providing a clear understanding of data provenance. Ideal for data scientists and engineers working with Jupyter and Python, particularly when using git for version control.

Canonical page: https://skillsregistry.net/skills/aakashkh-jupyter-lineage-mcp  
JSON: https://api.skillsregistry.net/v1/skills/aakashkh-jupyter-lineage-mcp

## Description

MCP server for static data lineage in Jupyter notebooks and Python ETL jobs

## 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:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/aakashkh/jupyter-lineage-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": "aakashkh-jupyter-lineage-mcp"
    }
  }
}
```

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