Is Astral Mcp Server Safe?
Astral Mcp Server — Nerq Trust Score 48.2/100 (D grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-25
Astral Mcp Server is a Python package with a Nerq Trust Score of 48.2/100 (D), based on 3 independent data dimensions. Last analyzed: 2026-03-25 Security: 90/100. Popularity: 0/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-25. Machine-readable data (JSON).
Is Astral Mcp Server safe?
Trust Score Breakdown — Astral Mcp Server has a Nerq Trust Score of 48.2/100 (D). Measured across 2 independent trust signals (as of 2026-03-25).
What is Astral Mcp Server's trust score?
Astral Mcp Server has a Nerq Trust Score of 48.2/100, earning a D grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Astral Mcp Server?
Astral Mcp Server's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Astral Mcp Server and who maintains it?
| Author | AR |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Astral Mcp Server
What is Astral Mcp Server?
Astral Mcp Server is a Python package — A MCP (Model Context Protocol) server that enables AI models to query location attestations using the Astral GraphQL endpoints and APIs.
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=astral-mcp-server
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Astral Mcp Server has a Nerq Trust Score of 48/100 (D). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Astral Mcp Server has a Trust Score of 48/100 (D).
- 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.