No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by jbeno · MCP Server · ★ 161
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is cursor-notebook-mcp safe to install? View the security audit →
Jupyter Notebook MCP Server (for Cursor) This directory contains a Model Context Protocol (MCP) server designed to allow AI agents within Cursor to interact with Jupyter Notebook () files. It was created to overcome a limitation with Cursor. As of version 0.50.5, in Agent mode, the model
| Stars | 161 |
| Forks | 16 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 72.1868517519688/100 |
| Open Issues | 11 |
| Last Updated | 2025-11-08 |
| Created | 2025-04-17 |
| Platforms | mcp, python |
| Est. Tokens | ~39k |
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cursor-notebook-mcp is Model Context Protocol (MCP) server designed to allow AI agents within Cursor to interact with Jupyter Notebook (.ipynb) files. It is categorized as a MCP Server with 161 GitHub stars.
cursor-notebook-mcp is primarily written in Python. It covers topics such as cursor, ipynb, jupyter.
You can find installation instructions and usage details in the cursor-notebook-mcp GitHub repository at github.com/jbeno/cursor-notebook-mcp. The project has 161 stars and 16 forks, indicating an active community.
The top alternatives to cursor-notebook-mcp on Agent Skills Hub include ollama-mcp, toolhive-studio, memorix. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: