Is Cerngitlab Mcp Safe?
Cerngitlab Mcp — Nerq Trust Score 54.2/100 (C- grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Cerngitlab Mcp is a Python package with a Nerq Trust Score of 54.2/100 (C-), based on 3 independent data dimensions. Last analyzed: 2026-03-20 Security: 90/100. Popularity: 15/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).
Is Cerngitlab Mcp safe?
Trust Score Breakdown — Cerngitlab Mcp has a Nerq Trust Score of 54.2/100 (C-). Measured across 2 independent trust signals (as of 2026-03-20).
What is Cerngitlab Mcp's trust score?
Cerngitlab Mcp has a Nerq Trust Score of 54.2/100, earning a C- grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Cerngitlab Mcp?
Cerngitlab Mcp's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Cerngitlab Mcp and who maintains it?
| Author | MohamedElashri |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Cerngitlab Mcp
What is Cerngitlab Mcp?
Cerngitlab Mcp is a Python package — MCP server for CERN GitLab - code discovery, documentation access, and usage examples for HEP projects.
How to Verify Safety
Run pip audit or safety check. Review on PyPI for download stats.
You can also check the trust score via API: GET /v1/preflight?target=cerngitlab-mcp
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Cerngitlab Mcp has a Nerq Trust Score of 54/100 (C-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Cerngitlab Mcp has a Trust Score of 54/100 (C-).
- The score is a measured composite — it is not a suitability judgment. Evaluate the individual signals against your own requirements.
- Query the current measured values via the Nerq API.
Frequently Asked Questions
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Disclaimer: Nerq trust scores are automated measurements based on publicly available signals. They are not endorsements, verdicts, or guarantees of suitability. Always evaluate the signals against your own requirements.