Is Awslabs.Aws Location Mcp Server Safe?
Awslabs.Aws Location Mcp Server — Nerq Trust Score 66.5/100 (B- grade). Based on analysis of 2 trust dimensions, it is generally safe but has some concerns. Last updated: 2026-05-12.
Use Awslabs.Aws Location Mcp Server with some caution. Awslabs.Aws Location Mcp Server is a Python package with a Nerq Trust Score of 66.5/100 (B-), based on 3 independent data dimensions. Below the recommended threshold of 70. Security: 90/100. Popularity: 60/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).
Is Awslabs.Aws Location Mcp Server safe?
CAUTION — Awslabs.Aws Location Mcp Server has a Nerq Trust Score of 66.5/100 (B-). It has moderate trust signals but shows some areas of concern that warrant attention. Suitable for development use — review security and maintenance signals before production deployment.
What is Awslabs.Aws Location Mcp Server's trust score?
Awslabs.Aws Location Mcp Server has a Nerq Trust Score of 66.5/100, 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 Awslabs.Aws Location Mcp Server?
Awslabs.Aws Location Mcp Server's strongest signal is security at 90/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.
What is Awslabs.Aws Location Mcp Server and who maintains it?
| Author | Amazon Web Services |
| Category | Python Packages |
| Source | N/A |
Awslabs.Aws Location Mcp Server Across Platforms
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Safety Guide: Awslabs.Aws Location Mcp Server
What is Awslabs.Aws Location Mcp Server?
Awslabs.Aws Location Mcp Server is a Python package — An AWS Labs Model Context Protocol (MCP) server for AWS Location Service.
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=awslabs.aws-location-mcp-server
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Awslabs.Aws Location Mcp Server has a Nerq Trust Score of 66/100 (B-) and has not yet reached Nerq trust threshold (70+). This score is based on automated analysis of security, maintenance, community, and quality signals.
Key Takeaways
- Awslabs.Aws Location Mcp Server has a Trust Score of 66/100 (B-).
- Review carefully before use — below trust threshold.
- Always verify independently using the Nerq API.
Detailed Score Analysis
| Dimension | Score |
|---|---|
| Security | 90/100 |
| Maintenance | 67/100 |
| Popularity | 60/100 |
| Quality | 65/100 |
| Community | 35/100 |
Based on 5 dimensions. Data from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard.
What data does Awslabs.Aws Location Mcp Server collect?
Privacy assessment for Awslabs.Aws Location Mcp Server is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.
Is Awslabs.Aws Location Mcp Server secure?
Security score: 90/100. Awslabs.Aws Location Mcp Server has 0 known vulnerabilities (CVEs) in the National Vulnerability Database. This is a clean record.
Licensed under Apache-2.0, allowing code inspection. Open-source packages allow independent security review of the source code.
Run your package manager's audit command (`npm audit`, `pip audit`, `cargo audit`) to check for known vulnerabilities in your dependency tree.
Full analysis: Awslabs.Aws Location Mcp Server Security Report
Awslabs.Aws Location Mcp Server Across Platforms
Same developer/company in other registries:
How we calculated this score
Awslabs.Aws Location Mcp Server's trust score of 66.5/100 (B-) is computed from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 5 independent dimensions: security (90/100), maintenance (67/100), popularity (60/100), quality (65/100), community (35/100). Each dimension is weighted equally to produce the composite trust score.
Nerq analyzes over 7.5 million entities across 26 registries using the same methodology, enabling direct cross-entity comparison. Scores are updated continuously as new data becomes available.
This page was last reviewed on May 12, 2026. Data version: 0.0.
Full methodology documentation · Machine-readable data (JSON API)
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Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.