opencode-mcp vs module.ai-chat — Trust Score Comparison
Side-by-side trust comparison of opencode-mcp and module.ai-chat. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.
Detailed Metric Comparison
| Metric | opencode-mcp | module.ai-chat |
|---|---|---|
| Trust Score | 0.0/100 | 72.0/100 |
| Grade | C | B |
| Stars | 0 | 0 |
| Category | infrastructure | uncategorized |
| Security | 0 | 90 |
| Compliance | 100 | N/A |
| Maintenance | 1 | 100 |
| Documentation | 1 | 70 |
| EU AI Act Risk | N/A | N/A |
| Verified | No | Yes |
Verdict
module.ai-chat leads with a trust score of 72.0/100 compared to opencode-mcp's 0.0/100 (a 72.0-point difference). module.ai-chat scores higher on security (90 vs 0), maintenance (100 vs 1). Both agents should be evaluated based on your specific requirements.
Detailed Analysis
Security
module.ai-chat leads on security with a score of 90/100 compared to opencode-mcp'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
module.ai-chat demonstrates stronger maintenance activity (100/100 vs 1/100). 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
module.ai-chat has better documentation (70/100 vs 1/100). 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
opencode-mcp has 0 GitHub stars while module.ai-chat has 0. Both tools have comparable community sizes, suggesting similar levels of ecosystem support and third-party resources.
When to Choose Each Tool
Choose opencode-mcp if you need:
- Consider if it better fits your specific use case
Choose module.ai-chat 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 opencode-mcp to module.ai-chat (or vice versa)
When migrating between opencode-mcp and module.ai-chat, consider these factors:
- API Compatibility: opencode-mcp (infrastructure) and module.ai-chat (uncategorized) serve different categories, so migration may require significant refactoring.
- Security Review: Run a security audit after migration. Check the opencode-mcp safety report and module.ai-chat safety report for known issues.
- Testing: Ensure your test suite covers all integration points before switching in production.
- Community Support: opencode-mcp has 0 stars and module.ai-chat has 0. Larger communities typically mean better Stack Overflow answers and migration guides.
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Last updated: 2026-10-26 | 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.