MinerU vs rlm-mcp-server — Trust Score Comparison

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

MinerU scores 80.4/100 (B) while rlm-mcp-server scores 0.0/100 (D) on the Nerq Trust Score. MinerU leads by 80.4 points. MinerU is a data tool with 54,130 stars, Nerq Verified. rlm-mcp-server is a uncategorized tool with 0 stars.
80.4
B verified
Categorydata
Stars54,130
Sourcegithub
Security1
Compliance100
Maintenance1
Documentation1
vs
0.0
D
Categoryuncategorized
Stars0
Sourcepypi_full
Compliance100

Detailed Metric Comparison

Metric MinerU rlm-mcp-server
Trust Score80.4/1000.0/100
GradeBD
Stars54,1300
Categorydatauncategorized
Security1N/A
Compliance100100
Maintenance1N/A
Documentation1N/A
EU AI Act RiskminimalN/A
VerifiedYesNo

Verdict

MinerU leads with a trust score of 80.4/100 compared to rlm-mcp-server's 0.0/100 (a 80.4-point difference). Both agents should be evaluated based on your specific requirements.

Detailed Analysis

Security

Security scores measure dependency vulnerabilities, CVE exposure, and security practices. MinerU scores 1 and rlm-mcp-server scores N/A on this dimension.

Maintenance & Activity

Activity scores reflect how actively each project is maintained. MinerU: 1, rlm-mcp-server: N/A.

Documentation

Documentation quality is evaluated based on README, API docs, and example coverage. MinerU: 1, rlm-mcp-server: N/A.

Community & Adoption

MinerU has 54,130 GitHub stars while rlm-mcp-server has 0. MinerU 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 MinerU 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
  • Larger community (54,130 vs 0 stars)
  • Better documentation for faster onboarding

Choose rlm-mcp-server if you need:

  • Consider if it better fits your specific use case

Switching from MinerU to rlm-mcp-server (or vice versa)

When migrating between MinerU and rlm-mcp-server, consider these factors:

  1. API Compatibility: MinerU (data) and rlm-mcp-server (uncategorized) serve different categories, so migration may require significant refactoring.
  2. Security Review: Run a security audit after migration. Check the MinerU safety report and rlm-mcp-server safety report for known issues.
  3. Testing: Ensure your test suite covers all integration points before switching in production.
  4. Community Support: MinerU has 54,130 stars and rlm-mcp-server has 0. Larger communities typically mean better Stack Overflow answers and migration guides.
MinerU Safety Report rlm-mcp-server Safety Report MinerU Alternatives rlm-mcp-server Alternatives

Related Pages

Frequently Asked Questions

Which is safer, MinerU or rlm-mcp-server?
Based on Nerq's independent trust assessment, MinerU has a trust score of 80.4/100 (B) while rlm-mcp-server scores 0.0/100 (D). The 80.4-point difference suggests MinerU has a stronger trust profile. Trust scores are based on security, compliance, maintenance, documentation, and community adoption.
How do MinerU and rlm-mcp-server compare on security?
MinerU has a security score of 1/100 and rlm-mcp-server scores N/A/100. There is a notable difference in their security assessments. MinerU's compliance score is 100/100 (EU risk: minimal), while rlm-mcp-server's is 100/100 (EU risk: N/A).
Should I use MinerU or rlm-mcp-server?
The choice depends on your requirements. MinerU (data, 54,130 stars) and rlm-mcp-server (uncategorized, 0 stars) serve different use cases. On trust, MinerU scores 80.4/100 and rlm-mcp-server scores 0.0/100. Review the full KYA reports for each agent before making a decision. Consider factors like integration requirements, documentation quality (1 vs N/A), and maintenance activity (1 vs N/A).

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Last updated: 2026-09-18 | 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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