gcloud-mcp vs microsoft-teams-ai — Trust Score Comparison
Side-by-side trust comparison of gcloud-mcp and microsoft-teams-ai. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.
Detailed Metric Comparison
| Metric | gcloud-mcp | microsoft-teams-ai |
|---|---|---|
| Trust Score | 81.2/100 | 56.8/100 |
| Grade | A | D |
| Stars | 653 | 0 |
| Category | infrastructure | communication|productivity |
| Security | 1 | N/A |
| Compliance | 87 | 100 |
| Maintenance | 1 | 0 |
| Documentation | 1 | 0 |
| EU AI Act Risk | minimal | N/A |
| Verified | Yes | No |
Verdict
gcloud-mcp leads with a trust score of 81.2/100 compared to microsoft-teams-ai's 56.8/100 (a 24.4-point difference). gcloud-mcp scores higher on maintenance (1 vs 0). 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 microsoft-teams-ai scores N/A on this dimension.
Maintenance & Activity
gcloud-mcp demonstrates stronger maintenance activity (1/100 vs 0/100). This metric captures commit frequency, issue response times, and release cadence. Actively maintained tools receive faster security patches and are less likely to accumulate technical debt.
Documentation
gcloud-mcp has better documentation (1/100 vs 0/100). Good documentation reduces onboarding time and helps teams adopt the tool safely. This score evaluates README completeness, API documentation, code examples, and tutorial availability.
Community & Adoption
gcloud-mcp has 653 GitHub stars while microsoft-teams-ai 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 microsoft-teams-ai if you need:
- Consider if it better fits your specific use case
Switching from gcloud-mcp to microsoft-teams-ai (or vice versa)
When migrating between gcloud-mcp and microsoft-teams-ai, consider these factors:
- API Compatibility: gcloud-mcp (infrastructure) and microsoft-teams-ai (communication|productivity) serve different categories, so migration may require significant refactoring.
- Security Review: Run a security audit after migration. Check the gcloud-mcp safety report and microsoft-teams-ai 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 microsoft-teams-ai has 0. Larger communities typically mean better Stack Overflow answers and migration guides.
Related Pages
Frequently Asked Questions
Related Comparisons
Last updated: 2026-05-05 | 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.