acemcp vs analytics-mcp — Trust Score Comparison
Side-by-side trust comparison of acemcp and analytics-mcp. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.
Detailed Metric Comparison
| Metric | acemcp | analytics-mcp |
|---|---|---|
| Trust Score | 0.0/100 | 58.0/100 |
| Grade | B | C |
| Stars | 0 | 0 |
| Category | uncategorized | uncategorized |
| Security | 0 | 90 |
| Compliance | 92 | N/A |
| Maintenance | 0 | 53 |
| Documentation | 0 | 40 |
| EU AI Act Risk | N/A | N/A |
| Verified | No | No |
Verdict
analytics-mcp leads with a trust score of 58.0/100 compared to acemcp's 0.0/100 (a 58.0-point difference). analytics-mcp scores higher on security (90 vs 0), maintenance (53 vs 0). Both agents should be evaluated based on your specific requirements.
Detailed Analysis
Security
analytics-mcp leads on security with a score of 90/100 compared to acemcp's 0/100. This score reflects dependency vulnerability analysis, known CVE exposure, and security best practices. A higher security score means fewer known vulnerabilities and better security hygiene in the codebase.
Maintenance & Activity
analytics-mcp demonstrates stronger maintenance activity (53/100 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
analytics-mcp has better documentation (40/100 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
acemcp has 0 GitHub stars while analytics-mcp has 0. Both tools have comparable community sizes, suggesting similar levels of ecosystem support and third-party resources.
When to Choose Each Tool
Choose acemcp if you need:
- Consider if it better fits your specific use case
Choose analytics-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
- Better documentation for faster onboarding
Switching from acemcp to analytics-mcp (or vice versa)
When migrating between acemcp and analytics-mcp, consider these factors:
- API Compatibility: acemcp (uncategorized) and analytics-mcp (uncategorized) share similar interfaces since they are in the same category.
- Security Review: Run a security audit after migration. Check the acemcp safety report and analytics-mcp safety report for known issues.
- Testing: Ensure your test suite covers all integration points before switching in production.
- Community Support: acemcp has 0 stars and analytics-mcp has 0. Larger communities typically mean better Stack Overflow answers and migration guides.
Related Pages
Frequently Asked Questions
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Last updated: 2026-08-22 | 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.