What is mcp-python-exec-sandbox?

68/100
Trust Score (B-)
⚠️ Use Caution

mcp-python-exec-sandbox is a AI tool that Sandboxed Python execution for AI agents. PEP 723 inline deps, multi-version Python, zero pollution.. It has a Nerq Trust Score of 68/100 (B-). 0 GitHub stars. Published by https://github.com/lu-zhengda/mcp-python-exec-sandbox. Last analyzed November 2026.

Why This Score

Trust & Safety Overview

68
TRUST SCORE
B-
GRADE
0
STARS
0
DOWNLOADS

What mcp-python-exec-sandbox Does

mcp-python-exec-sandbox is a mcp_server in the AI tool category. Sandboxed Python execution for AI agents. PEP 723 inline deps, multi-version Python, zero pollution.. It is published by https://github.com/lu-zhengda/mcp-python-exec-sandbox and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use mcp-python-exec-sandbox

mcp-python-exec-sandbox is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

Authorhttps://github.com/lu-zhengda/mcp-python-exec-sandbox
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=io-github-lu-zhengda-mcp-python-exec-sandbox

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

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Frequently Asked Questions

What is mcp-python-exec-sandbox used for?
mcp-python-exec-sandbox is a AI tool tool. Sandboxed Python execution for AI agents. PEP 723 inline deps, multi-version Python, zero pollution..
Is mcp-python-exec-sandbox free?
License: Check project page. mcp-python-exec-sandbox has 0 GitHub stars.
Is mcp-python-exec-sandbox safe?
mcp-python-exec-sandbox has a Nerq Trust Score of 68/100 (B-). Use with caution.
What are alternatives to mcp-python-exec-sandbox?
Top alternatives: MarkItDown, Time, Sequential Thinking. See full comparison.

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

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