Is Dbt Mcp Safe?
Dbt Mcp — Nerq Trust Score 72.2/100 (B grade). Score based on 2 independent trust signals. Last analyzed: 2026-07-22
Dbt Mcp is a Python package with a Nerq Trust Score of 72.2/100 (B), based on 3 independent data dimensions. Last analyzed: 2026-07-22 Security: 90/100. Popularity: 75/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-07-22. Machine-readable data (JSON).
Is Dbt Mcp safe?
Trust Score Breakdown — Dbt Mcp has a Nerq Trust Score of 72.2/100 (B). Measured across 2 independent trust signals (as of 2026-07-22).
What is Dbt Mcp's trust score?
Dbt Mcp has a Nerq Trust Score of 72.2/100, earning a B grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Dbt Mcp?
Dbt Mcp's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Dbt Mcp and who maintains it?
| Author | dbt Labs |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Dbt Mcp
What is Dbt Mcp?
Dbt Mcp is a Python package — A MCP (Model Context Protocol) server for interacting with dbt resources..
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=dbt-mcp
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Dbt Mcp has a Nerq Trust Score of 72/100 (B). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Dbt Mcp has a Trust Score of 72/100 (B).
- 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.