Ist Mcpets sicher?

Mcpets — Nerq Trust Score 60.5/100 (Note C). Basierend auf der Analyse von 4 Vertrauensdimensionen wird es als generell sicher, aber mit einigen Bedenken eingestuft. Zuletzt aktualisiert: 2026-04-03.

Verwende Mcpets mit Vorsicht. Mcpets is a software tool mit einer Nerq-Vertrauensbewertung von 60.5/100 (C), based on 4 unabhängige Datendimensionen. It is below the recommended threshold of 70. Wartung: 0/100. Popularity: 0/100. Daten stammen von multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Zuletzt aktualisiert: 2026-04-03. Maschinenlesbare Daten (JSON).

Ist Mcpets sicher?

CAUTION — Mcpets hat eine Nerq-Vertrauensbewertung von 60.5/100 (C). Es hat moderat Vertrauenssignale, zeigt aber einige Problembereiche that warrant attention. Suitable for development use — review Sicherheit and Wartung signals before production deployment.

Sicherheitsanalyse → {name} Datenschutzbericht →

Was ist die Vertrauensbewertung von Mcpets?

Mcpets hat eine Nerq-Vertrauensbewertung von 60.5/100 und erhält die Note C. Diese Bewertung basiert auf 4 unabhängig gemessenen Dimensionen.

Konformität
100
Wartung
0
Dokumentation
0
Beliebtheit
0

Was sind die wichtigsten Sicherheitsergebnisse für Mcpets?

Das stärkste Signal von Mcpets ist konformität mit 100/100. Es wurden keine bekannten Schwachstellen erkannt. Hat die Nerq-Vertrauensschwelle von 70+ noch nicht erreicht.

Wartung: 0/100 — geringe Wartungsaktivität
Compliance: 100/100 — covers 52 of 52 jurisdictions
Documentation: 0/100 — eingeschränkte Dokumentation
Popularity: 0/100 — 70 Sterne auf mcp_registry

Was ist Mcpets und wer pflegt es?

AutorNocsy-Workshop
Kategorieinfrastructure
Sterne70
Quellehttps://github.com/Nocsy-Workshop/mcpets
Protocolsmcp

Regulatorische Konformität

EU AI Act Risk ClassNot assessed
Compliance Score100/100
GerichtsbarkeitsAssessed across 52 jurisdictions

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What Is Mcpets?

Mcpets is a software tool in the infrastructure category: MCPets plugin for Minecraft Spigot - Made by Nocsy | Partnered with MCModels.net. It has 70 GitHub stars. Nerq Trust Score: 60/100 (C).

Nerq independently analyzes every software tool, app, and extension across multiple trust signals including Sicherheit vulnerabilities, Wartung activity, license Konformität, and Community-Akzeptanz.

How Nerq Assesses Mcpets's Safety

Nerq's Trust Score is calculated from 13+ independent signals aggregated into five Dimensionen. Here is how Mcpets performs in each:

The overall Trust Score of 60.5/100 (C) reflects the weighted combination of these signals. This is below the Nerq Verified threshold of 70. We recommend additional due diligence before production deployment.

Who Should Use Mcpets?

Mcpets is designed for:

Risk guidance: Mcpets is suitable for development and testing environments. Before production deployment, conduct a thorough review of its Sicherheit posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.

How to Verify Mcpets's Safety Yourself

While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:

  1. Check the source code — Überprüfen Sie das/die repository Sicherheit policy, open issues, and recent commits for signs of active Wartung.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in Mcpets's dependency tree.
  3. Bewertung permissions — Understand what access Mcpets requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Mcpets in a sandboxed environment before granting access to production data or systems.
  5. Monitor continuously — Use Nerq's API to set up automated trust checks: GET nerq.ai/v1/preflight?target=mcpets
  6. Überprüfen Sie das/die license — Confirm that Mcpets's license is compatible with your intended use case. Pay attention to restrictions on commercial use, redistribution, and derivative works. Some AI tools use dual licensing or have separate terms for enterprise customers that differ from the open-source license.
  7. Check community signals — Look at the project's issue tracker, discussion forums, and social media presence. A healthy community actively reports bugs, contributes fixes, and discusses Sicherheit concerns openly. Low community engagement may indicate limited peer review of the codebase.

Common Safety Concerns with Mcpets

When evaluating whether Mcpets is safe, consider these category-specific risks:

Data handling

Understand how Mcpets processes, stores, and transmits your data. Überprüfen Sie das/die tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency Sicherheit

Check Mcpets's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher Sicherheit risk.

Update frequency

Regularly check for updates to Mcpets. Sicherheit patches and bug fixes are only effective if you're running the latest version.

Third-party integrations

If Mcpets connects to external APIs or services, each integration point is a potential attack surface. Audit all third-party connections, verify that data shared with external services is minimized, and ensure that integration credentials are rotated regularly.

License and IP Konformität

Verify that Mcpets's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Mcpets in violation of its license can expose your organization to legal liability.

Best Practices for Using Mcpets Safely

Whether you're an individual developer or an enterprise team, these practices will help you get the most from Mcpets while minimizing risk:

Conduct regular audits

Periodically review how Mcpets is used in your workflow. Check for unexpected behavior, permissions drift, and Konformität with your Sicherheit policies.

Keep dependencies updated

Ensure Mcpets and all its dependencies are running the latest stable versions to benefit from Sicherheit patches.

Follow least privilege

Grant Mcpets only the minimum permissions it needs to function. Avoid granting admin or root access.

Monitor for Sicherheit advisories

Subscribe to Mcpets's Sicherheit advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.

Document usage policies

Create and maintain a clear policy for how Mcpets is used within your organization, including data handling guidelines and acceptable use cases.

When Should You Avoid Mcpets?

Even promising tools aren't right for every situation. Consider avoiding Mcpets in these scenarios:

Die Vertrauensbewertung von

For each scenario, evaluate whether Mcpets von 60.5/100 meets your organization's risk tolerance. We recommend running a manual Sicherheit assessment alongside the automated Nerq score.

How Mcpets Vergleichens to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among infrastructure tools, the average Trust Score is 62/100. Mcpets's score of 60.5/100 is near the category average of 62/100.

This places Mcpets in line with the typical infrastructure tool tool. It meets baseline expectations but does not distinguish itself from peers on trust metrics.

Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks moderat in isolation may actually represent strong performance within a challenging category — or vice versa. Nerq's category-relative analysis helps teams make informed decisions by showing not just absolute quality, but how a tool ranks against its direct peers.

Trust Score History

Nerq continuously monitors Mcpets and recalculates its Trust Score as new data becomes available. Our scoring engine ingests real-time signals from source repositories, vulnerability databases (NVD, OSV.dev), package registries, and community metrics. When a new CVE is published, a major release ships, or Wartung patterns change, Mcpets's score is updated within 24 hours.

Historical trust trends reveal whether a tool is improving, stable, or declining over time. A tool that consistently maintains or improves its score demonstrates ongoing commitment to Sicherheit and quality. Conversely, a downward trend may signal reduced Wartung, growing technical debt, or unresolved vulnerabilities. To track Mcpets's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=mcpets&include=history

Nerq retains trust score snapshots at regular intervals, enabling trend analysis across weeks and months. Enterprise users can access detailed historical reports showing how each dimension — Sicherheit, Wartung, Dokumentation, Konformität, and community — has evolved independently, providing granular visibility into which aspects of Mcpets are strengthening or weakening over time.

Mcpets vs Alternativen

In the infrastructure category, Mcpets erzielt 60.5/100. There are higher-scoring alternatives available. For a detailed comparison, see:

Wichtigste Punkte

Häufig gestellte Fragen

Ist Mcpets sicher in der Verwendung?
Mit Vorsicht verwenden. mcpets hat eine Nerq-Vertrauensbewertung von 60.5/100 (C). Stärkstes Signal: konformität (100/100). Bewertung basierend auf Wartung (0/100), Beliebtheit (0/100), Dokumentation (0/100).
Was ist Mcpets's trust score?
mcpets: 60.5/100 (C). Bewertung basierend auf: Wartung (0/100), Beliebtheit (0/100), Dokumentation (0/100). Compliance: 100/100. Scores update as new data becomes available. API: GET nerq.ai/v1/preflight?target=mcpets
Was sind sicherere Alternativen zu Mcpets?
In the infrastructure category, higher-rated alternatives include n8n-io/n8n (78/100), langflow-ai/langflow (88/100), langgenius/dify (79/100). mcpets erzielt 60.5/100.
How often is Mcpets's safety score updated?
Nerq continuously monitors Mcpets and updates its trust score as new data becomes available. Daten stammen von multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Current: 60.5/100 (C), last verifiziert 2026-04-03. API: GET nerq.ai/v1/preflight?target=mcpets
Can I use Mcpets in a regulated environment?
Mcpets has not reached the Nerq Verified threshold of 70. Additional due diligence is recommended for regulated environments.
API: /v1/preflight Trust Badge API Docs

Disclaimer: Nerq-Vertrauensbewertungen sind automatisierte Bewertungen basierend auf öffentlich verfügbaren Signalen. Sie sind keine Empfehlungen oder Garantien. Führen Sie immer Ihre eigene Sorgfaltsprüfung durch.

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