gcloud-mcp vs langgraph-sdk-aipy — Trust Score Comparison
Side-by-side trust comparison of gcloud-mcp and langgraph-sdk-aipy. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.
Detailed Metric Comparison
| Metric | gcloud-mcp | langgraph-sdk-aipy |
|---|---|---|
| Trust Score | 81.2/100 | 53.0/100 |
| Grade | A | D |
| Stars | 653 | 0 |
| Category | infrastructure | uncategorized |
| Security | 1 | N/A |
| Compliance | 87 | 100 |
| Maintenance | 1 | N/A |
| Documentation | 1 | N/A |
| EU AI Act Risk | minimal | N/A |
| Verified | Yes | No |
Verdict
gcloud-mcp leads with a trust score of 81.2/100 compared to langgraph-sdk-aipy's 53.0/100 (a 28.2-point difference). Both agents should be evaluated based on your specific requirements.
Detailed Analysis
Security
Security scores measure dependency vulnerabilities, CVE exposure, and security practices. gcloud-mcp scores 1 and langgraph-sdk-aipy scores N/A on this dimension.
Maintenance & Activity
Activity scores reflect how actively each project is maintained. gcloud-mcp: 1, langgraph-sdk-aipy: N/A.
Documentation
Documentation quality is evaluated based on README, API docs, and example coverage. gcloud-mcp: 1, langgraph-sdk-aipy: N/A.
Community & Adoption
gcloud-mcp has 653 GitHub stars while langgraph-sdk-aipy has 0. gcloud-mcp has significantly broader community adoption, which typically means more Stack Overflow answers, more third-party tutorials, and faster ecosystem development.
When to Choose Each Tool
Choose gcloud-mcp if you need:
- Higher overall trust score — more reliable for production use
- Stronger security profile with fewer known vulnerabilities
- More actively maintained with faster release cadence
- Larger community (653 vs 0 stars)
- Better documentation for faster onboarding
Choose langgraph-sdk-aipy if you need:
- Consider if it better fits your specific use case
Switching from gcloud-mcp to langgraph-sdk-aipy (or vice versa)
When migrating between gcloud-mcp and langgraph-sdk-aipy, consider these factors:
- API Compatibility: gcloud-mcp (infrastructure) and langgraph-sdk-aipy (uncategorized) serve different categories, so migration may require significant refactoring.
- Security Review: Run a security audit after migration. Check the gcloud-mcp safety report and langgraph-sdk-aipy safety report for known issues.
- Testing: Ensure your test suite covers all integration points before switching in production.
- Community Support: gcloud-mcp has 653 stars and langgraph-sdk-aipy has 0. Larger communities typically mean better Stack Overflow answers and migration guides.
Related Pages
Frequently Asked Questions
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Last updated: 2026-05-31 | Data refreshed weekly
Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.