jupyter-mcp-server: Model Context Protocol (MCP) Server for Jupyter

by datalayer · MCP Server · ★ 1.3k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 72/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

aijupytermcpmcp-servertools

Quick Facts

Stars1,320
Forks210
LanguagePython
CategoryMCP Server
LicenseBSD-3-Clause
Quality Score72/100
Open Issues31
Last Updated2026-11-05
Created2025-02-12
Platformsmcp, python
Est. Tokens~17k

About jupyter-mcp-server

🪐🔧 Jupyter MCP Server An MCP server developed for AI to connect and manage Jupyter Notebooks in real-time Developed by Datalayer [!NOTE] We Need Your Feedback! We're active

Compatible Skills

These tools work well together with jupyter-mcp-server for enhanced workflows:

  • cursor-notebook-mcp — semantic(0.70)+rare_topics+same_lang+similar_pop+shared_platform (59%)
  • investor-agent — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (52%)
  • chatlab — semantic(0.47)+complementary+rare_topics+similar_pop (51%)
  • Easy-MCP-AutoCad — semantic(0.51)+same_lang+similar_pop+shared_platform (48%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

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