claude-team vs mathematica-mcp — Trust Score Comparison
Side-by-side trust comparison of claude-team and mathematica-mcp. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.
Detailed Metric Comparison
| Metric | claude-team | mathematica-mcp |
|---|---|---|
| Trust Score | 72.0/100 | 75.4/100 |
| Grade | B | B |
| Stars | 14 | 0 |
| Category | devops | coding |
| Security | 0 | 0 |
| Compliance | 100 | 100 |
| Maintenance | 1 | 1 |
| Documentation | 1 | 1 |
| EU AI Act Risk | minimal | minimal |
| Verified | Yes | Yes |
Verdict
mathematica-mcp leads with a trust score of 75.4/100 compared to claude-team's 72.0/100 (a 3.4-point difference). However, claude-team has stronger community adoption (14 vs 0 stars). Both agents should be evaluated based on your specific requirements.
Detailed Analysis
Security
claude-team leads on security with a score of 0/100 compared to mathematica-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
claude-team demonstrates stronger maintenance activity (1/100 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
claude-team has better documentation (1/100 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
claude-team has 14 GitHub stars while mathematica-mcp has 0. claude-team 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 claude-team if you need:
- Larger community (14 vs 0 stars)
Choose mathematica-mcp if you need:
- Higher overall trust score — more reliable for production use
Switching from claude-team to mathematica-mcp (or vice versa)
When migrating between claude-team and mathematica-mcp, consider these factors:
- API Compatibility: claude-team (devops) and mathematica-mcp (coding) serve different categories, so migration may require significant refactoring.
- Security Review: Run a security audit after migration. Check the claude-team safety report and mathematica-mcp safety report for known issues.
- Testing: Ensure your test suite covers all integration points before switching in production.
- Community Support: claude-team has 14 stars and mathematica-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: 2026-05-02 | 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.