AlphaMaze-v0.2-1.5B vs mcpproxy-go — Trust Score Comparison
Side-by-side trust comparison of AlphaMaze-v0.2-1.5B and mcpproxy-go. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.
Detailed Metric Comparison
| Metric | AlphaMaze-v0.2-1.5B | mcpproxy-go |
|---|---|---|
| Trust Score | 59.2/100 | 79.1/100 |
| Grade | D | B |
| Stars | 93 | 156 |
| Category | ai | infrastructure |
| Security | N/A | 0 |
| Compliance | 87 | 97 |
| Maintenance | 0 | 1 |
| Documentation | 0 | 1 |
| EU AI Act Risk | N/A | minimal |
| Verified | No | Yes |
Verdict
mcpproxy-go leads with a trust score of 79.1/100 compared to AlphaMaze-v0.2-1.5B's 59.2/100 (a 19.9-point difference). mcpproxy-go scores higher on compliance (97 vs 87), 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. AlphaMaze-v0.2-1.5B scores N/A and mcpproxy-go scores 0 on this dimension.
Maintenance & Activity
mcpproxy-go 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
mcpproxy-go 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
AlphaMaze-v0.2-1.5B has 93 GitHub stars while mcpproxy-go has 156. Both tools have comparable community sizes, suggesting similar levels of ecosystem support and third-party resources.
When to Choose Each Tool
Choose AlphaMaze-v0.2-1.5B if you need:
- Consider if it better fits your specific use case
Choose mcpproxy-go if you need:
- Higher overall trust score — more reliable for production use
- More actively maintained with faster release cadence
- Larger community (156 vs 93 stars)
- Better documentation for faster onboarding
Switching from AlphaMaze-v0.2-1.5B to mcpproxy-go (or vice versa)
When migrating between AlphaMaze-v0.2-1.5B and mcpproxy-go, consider these factors:
- API Compatibility: AlphaMaze-v0.2-1.5B (ai) and mcpproxy-go (infrastructure) serve different categories, so migration may require significant refactoring.
- Security Review: Run a security audit after migration. Check the AlphaMaze-v0.2-1.5B safety report and mcpproxy-go safety report for known issues.
- Testing: Ensure your test suite covers all integration points before switching in production.
- Community Support: AlphaMaze-v0.2-1.5B has 93 stars and mcpproxy-go has 156. Larger communities typically mean better Stack Overflow answers and migration guides.
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Last updated: 2026-06-16 | 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.