datalayer/jupyter-mcp-server

MCPcommunity
datalayerBSD-3-ClauseUpdated 3mo agoGitHub

🪐 🔧 Model Context Protocol (MCP) Server for Jupyter.

An MCP server developed for AI to connect and manage Jupyter Notebooks in real-time Developed by Datalayer Breaking change in v1.0.0: You must configure in your MCP client setup. For setup details, see: Update in v1.0.2: is now supported, so installing is no longer required. We Need Your Feedback! We're actively developing support for JupyterHub and Google Colab deployments. If you're using or…

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1kGitHub stars
164Forks
3mo agoLast update
Package
Authordatalayer
LicenseBSD-3-Clause
Sourcegithub
GitHubdatalayer/jupyter-mcp-server
Trust Status
B
60/100Good
✓Listed in Forge index+10/10
—Publisher identity verified+0/30
→ Publisher: run `forge publish` from the repo to claim ownership
—Domain verification+0/10
→ Not currently available for this listing type — the domain-verification check only runs for npm-backed packages today, so this row cannot be earned here yet regardless of what's hosted at the domain.
✓Prompt-injection scan · clean+30/30
✓Obfuscation / exfil scan · clean+20/20
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain—
Provenance—
DependenciesNot audited
Tool surface—
Security scan✓ CleanvHEAD · 2mo ago
EvalsNone
IndexedMay 24, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts — it cannot prove the absence of malicious code.

About

An MCP server developed for AI to connect and manage Jupyter Notebooks in real-time Developed by Datalayer Breaking change in v1.0.0: You must configure in your MCP client setup. For setup details, see: Update in v1.0.2: is now supported, so installing is no longer required. We Need Your Feedback! We're actively developing support for JupyterHub and Google Colab deployments. If you're using or planning to use Jupyter MCP Server with these platforms, we'd love to hear from you! - 🏢 JupyterHub…

Keywords
aijupytermcpmcp-servertools