What is IPython Kernel?

36/100
Trust Score (E)
🔴 Avoid

IPython Kernel is a AI tool that Exposes a persistent IPython kernel to MCP clients for stateful Python execution with variable inspection, conda environment switching, and Jupyter notebook export.. It has a Nerq Trust Score of 36/100 (E). 2 GitHub stars. Published by https://github.com/alipatti/ipython-mcp. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

36
TRUST SCORE
E
GRADE
2
STARS
0
DOWNLOADS

What IPython Kernel Does

IPython Kernel is a mcp_server in the AI tool category. Exposes a persistent IPython kernel to MCP clients for stateful Python execution with variable inspection, conda environment switching, and Jupyter notebook export.. It is published by https://github.com/alipatti/ipython-mcp and has no specified license. With 2 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use IPython Kernel

IPython Kernel is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Authorhttps://github.com/alipatti/ipython-mcp
CategoryAI tool
LicenseNot specified
Typemcp_server
SourceView on GitHub
Security Score0/100
Activity Score0/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=ipython-kernel

Setup guide · Full safety report · Production review · Is it safe?

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Frequently Asked Questions

What is IPython Kernel used for?
IPython Kernel is a AI tool tool. Exposes a persistent IPython kernel to MCP clients for stateful Python execution with variable inspection, conda environment switching, and Jupyter notebook export..
Is IPython Kernel free?
License: Check project page. IPython Kernel has 2 GitHub stars.
Is IPython Kernel safe?
IPython Kernel has a Nerq Trust Score of 36/100 (E). Evaluate carefully.
What are alternatives to IPython Kernel?
Top alternatives: MarkItDown, Filesystem, Time. See full comparison.

Last updated September 2026. Trust scores based on automated analysis of public data.

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