forge vs mathematica-mcp — Trust Score Comparison

Side-by-side trust comparison of forge and mathematica-mcp. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.

forge scores 76.1/100 (B) while mathematica-mcp scores 75.4/100 (B) on the Nerq Trust Score. The two agents are essentially tied on overall trust. forge is a coding agent with 0 stars, Nerq Verified. mathematica-mcp is a coding agent with 0 stars, Nerq Verified.
76.1
B verified
Categorycoding
Stars0
Sourcegithub
Security0
Compliance97
Maintenance1
Documentation1
vs
75.4
B verified
Categorycoding
Stars0
Sourcegithub
Security0
Compliance100
Maintenance1
Documentation1

Detailed Metric Comparison

Metric forge mathematica-mcp
Trust Score76.1/10075.4/100
GradeBB
Stars00
Categorycodingcoding
Security00
Compliance97100
Maintenance11
Documentation11
EU AI Act Riskminimalminimal
VerifiedYesYes

Verdict

forge (76.1) and mathematica-mcp (75.4) have nearly identical trust scores. Both are solid choices. The decision should come down to your specific use case, team preferences, and integration requirements rather than trust differences.

Detailed Analysis

Security

forge 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

mathematica-mcp 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

forge 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

forge has 0 GitHub stars while mathematica-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 forge if you need:

  • Higher overall trust score — more reliable for production use

Choose mathematica-mcp if you need:

  • More actively maintained with faster release cadence

Switching from forge to mathematica-mcp (or vice versa)

When migrating between forge and mathematica-mcp, consider these factors:

  1. API Compatibility: forge (coding) and mathematica-mcp (coding) share similar interfaces since they are in the same category.
  2. Security Review: Run a security audit after migration. Check the forge safety report and mathematica-mcp safety report for known issues.
  3. Testing: Ensure your test suite covers all integration points before switching in production.
  4. Community Support: forge has 0 stars and mathematica-mcp has 0. Larger communities typically mean better Stack Overflow answers and migration guides.
forge Safety Report mathematica-mcp Safety Report forge Alternatives mathematica-mcp Alternatives

Related Pages

Frequently Asked Questions

Which is safer, forge or mathematica-mcp?
Based on Nerq's independent trust assessment, forge has a trust score of 76.1/100 (B) while mathematica-mcp scores 75.4/100 (B). Both agents are very close in overall trust. Trust scores are based on security, compliance, maintenance, documentation, and community adoption.
How do forge and mathematica-mcp compare on security?
forge has a security score of 0/100 and mathematica-mcp scores 0/100. Both have comparable security profiles. forge's compliance score is 97/100 (EU risk: minimal), while mathematica-mcp's is 100/100 (EU risk: minimal).
Should I use forge or mathematica-mcp?
The choice depends on your requirements. forge (coding, 0 stars) and mathematica-mcp (coding, 0 stars) serve similar use cases. On trust, forge scores 76.1/100 and mathematica-mcp scores 75.4/100. Review the full KYA reports for each agent before making a decision. Consider factors like integration requirements, documentation quality (1 vs 1), and maintenance activity (1 vs 1).

Related Comparisons

Last updated: 2026-04-30 | 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.

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