awesome-ai-web-search vs searxng-mcp — Trust Score Comparison
Side-by-side trust comparison of awesome-ai-web-search and searxng-mcp. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.
Detailed Metric Comparison
| Metric | awesome-ai-web-search | searxng-mcp |
|---|---|---|
| Trust Score | 58.2/100 | 67.9/100 |
| Grade | D | C |
| Stars | 60 | 0 |
| Category | search | other |
| Security | N/A | 0 |
| Compliance | 100 | 100 |
| Maintenance | 0 | 1 |
| Documentation | 0 | 1 |
| EU AI Act Risk | minimal | minimal |
| Verified | No | No |
Verdict
searxng-mcp leads with a trust score of 67.9/100 compared to awesome-ai-web-search's 58.2/100 (a 9.7-point difference). searxng-mcp scores higher on maintenance (1 vs 0). However, awesome-ai-web-search has stronger community adoption (60 vs 0 stars). Both agents should be evaluated based on your specific requirements.
Detailed Analysis
Security
Security scores measure dependency vulnerabilities, CVE exposure, and security practices. awesome-ai-web-search scores N/A and searxng-mcp scores 0 on this dimension.
Maintenance & Activity
searxng-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
searxng-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
awesome-ai-web-search has 60 GitHub stars while searxng-mcp has 0. awesome-ai-web-search 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 awesome-ai-web-search if you need:
- Larger community (60 vs 0 stars)
Choose searxng-mcp if you need:
- Higher overall trust score — more reliable for production use
- More actively maintained with faster release cadence
- Better documentation for faster onboarding
Switching from awesome-ai-web-search to searxng-mcp (or vice versa)
When migrating between awesome-ai-web-search and searxng-mcp, consider these factors:
- API Compatibility: awesome-ai-web-search (search) and searxng-mcp (other) serve different categories, so migration may require significant refactoring.
- Security Review: Run a security audit after migration. Check the awesome-ai-web-search safety report and searxng-mcp safety report for known issues.
- Testing: Ensure your test suite covers all integration points before switching in production.
- Community Support: awesome-ai-web-search has 60 stars and searxng-mcp has 0. Larger communities typically mean better Stack Overflow answers and migration guides.
Related Pages
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Last updated: 2026-05-21 | 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.