datagouv-mcp vs zstd — Trust Score Comparison

Name: datagouv-mcp vs zstd Trust Comparison
Creator: Nerq

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

datagouv-mcp scores 72.3/100 (B) while zstd scores 56.0/100 (D) on the Nerq Trust Score. datagouv-mcp leads by 16.3 points. datagouv-mcp is a data tool with 36 stars, Nerq Verified. zstd is a uncategorized tool with 0 stars.

datagouv-mcp

72.3

B verified

Categorydata

Stars36

Sourcegithub

Security0

Compliance61

Maintenance1

Documentation1

zstd

56.0

Categoryuncategorized

Stars0

Sourcenpm_full

Compliance100

Detailed Metric Comparison

Metric	datagouv-mcp	zstd
Trust Score	72.3/100	56.0/100
Grade	B	D
Stars	36	0
Category	data	uncategorized
Security	0	N/A
Compliance	61	100
Maintenance	1	N/A
Documentation	1	N/A
EU AI Act Risk	minimal	N/A
Verified	Yes	No

Verdict

datagouv-mcp leads with a trust score of 72.3/100 compared to zstd's 56.0/100 (a 16.3-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. datagouv-mcp scores 0 and zstd scores N/A on this dimension.

Maintenance & Activity

Activity scores reflect how actively each project is maintained. datagouv-mcp: 1, zstd: N/A.

Documentation

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

Community & Adoption

datagouv-mcp has 36 GitHub stars while zstd has 0. datagouv-mcp 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 datagouv-mcp if you need:

Higher overall trust score — more reliable for production use
More actively maintained with faster release cadence
Larger community (36 vs 0 stars)
Better documentation for faster onboarding

Choose zstd if you need:

Consider if it better fits your specific use case

Switching from datagouv-mcp to zstd (or vice versa)

When migrating between datagouv-mcp and zstd, consider these factors:

API Compatibility: datagouv-mcp (data) and zstd (uncategorized) serve different categories, so migration may require significant refactoring.
Security Review: Run a security audit after migration. Check the datagouv-mcp safety report and zstd safety report for known issues.
Testing: Ensure your test suite covers all integration points before switching in production.
Community Support: datagouv-mcp has 36 stars and zstd has 0. Larger communities typically mean better Stack Overflow answers and migration guides.

datagouv-mcp Safety Report zstd Safety Report datagouv-mcp Alternatives zstd Alternatives

Frequently Asked Questions

Which is safer, datagouv-mcp or zstd?

Based on Nerq's independent trust assessment, datagouv-mcp has a trust score of 72.3/100 (B) while zstd scores 56.0/100 (D). The 16.3-point difference suggests datagouv-mcp has a stronger trust profile. Trust scores are based on security, compliance, maintenance, documentation, and community adoption.

How do datagouv-mcp and zstd compare on security?

datagouv-mcp has a security score of 0/100 and zstd scores N/A/100. There is a notable difference in their security assessments. datagouv-mcp's compliance score is 61/100 (EU risk: minimal), while zstd's is 100/100 (EU risk: N/A).

Should I use datagouv-mcp or zstd?

The choice depends on your requirements. datagouv-mcp (data, 36 stars) and zstd (uncategorized, 0 stars) serve different use cases. On trust, datagouv-mcp scores 72.3/100 and zstd scores 56.0/100. 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: 2026-06-21 | 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.