# Jupyter Notebook MCP Server

> Use this tool when you need to integrate Jupyter notebooks with VS Code or Cursor, enabling AI agents to read, edit, and execute cells, and capture outputs via the Model Context Protocol. It solves problems of seamless interaction between Jupyter notebooks and development environments, streamlining workflows and improving productivity. The tool accepts Jupyter notebook files as input and outputs executed cell results, making it ideal for data science, machine learning, and scientific computing use cases.

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

## Description

Enables AI agents to read, edit, execute cells, and capture outputs from Jupyter notebooks directly within VS Code or Cursor via the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

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

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