Is Book Metadata Mcp Safe?
Book Metadata Mcp — Nerq Trust Score 52.0/100 (C- grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-21
Book Metadata Mcp is a Python package with a Nerq Trust Score of 52.0/100 (C-), based on 3 independent data dimensions. Last analyzed: 2026-03-21 Security: 90/100. Popularity: 15/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-21. Machine-readable data (JSON).
Is Book Metadata Mcp safe?
Trust Score Breakdown — Book Metadata Mcp has a Nerq Trust Score of 52.0/100 (C-). Measured across 2 independent trust signals (as of 2026-03-21).
What is Book Metadata Mcp's trust score?
Book Metadata Mcp has a Nerq Trust Score of 52.0/100, 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 Book Metadata Mcp?
Book Metadata Mcp's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Book Metadata Mcp and who maintains it?
| Author | Unknown |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Book Metadata Mcp
What is Book Metadata Mcp?
Book Metadata Mcp is a Python package — MCP server for book metadata lookup — searches Google Books and Open Library with intelligent scoring.
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=book-metadata-mcp
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Book Metadata Mcp has a Nerq Trust Score of 52/100 (C-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Book Metadata Mcp has a Trust Score of 52/100 (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.