# Jupyter Notebook Bridge

> Use this tool when you need to integrate AI assistants with Jupyter notebooks, enabling programmatic creation and execution of code cells, addition of markdown content, and interaction with Earth data. It solves problems in data science workflows by generating executable code, documenting analysis, and facilitating Earth data retrieval and processing. The Jupyter Notebook Bridge takes AI model inputs and outputs executable Jupyter notebook content, making it ideal for use cases requiring automated code generation and notebook manipulation.

Canonical page: https://skillsregistry.net/skills/datalayer-jupyter-notebook-bridge  
JSON: https://api.skillsregistry.net/v1/skills/datalayer-jupyter-notebook-bridge

## Description

The Jupyter MCP Server provides a bridge between AI assistants and Jupyter notebooks, enabling models to programmatically create and execute code cells, add markdown content, and interact with Earth data through specialized tools. Built using the MCP protocol with both stdio and SSE transport options, it leverages the jupyter_kernel_client and jupyter_nbmodel_client libraries to manipulate notebook content and execute code in a running kernel. This implementation is particularly valuable for data science workflows where AI assistants need to generate executable code, document analysis with markdown, or facilitate Earth data retrieval and processing within Jupyter environments.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/datalayer-jupyter-notebook-bridge)
- **Repository:** <https://github.com/bitrsky/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": "datalayer-jupyter-notebook-bridge"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/datalayer-jupyter-notebook-bridge` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/datalayer-jupyter-notebook-bridge/pull`

---
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