Apakah Mcpets Aman?

Mcpets — Nerq Trust Score 60.5/100 (Nilai C). Berdasarkan analisis 4 dimensi kepercayaan, dianggap umumnya aman tetapi memiliki beberapa kekhawatiran. Terakhir diperbarui: 2026-04-03.

Gunakan Mcpets dengan hati-hati. Mcpets is a software tool dengan Skor Kepercayaan Nerq sebesar 60.5/100 (C), based on 4 dimensi data independen. Di bawah ambang batas yang direkomendasikan yaitu 70. Pemeliharaan: 0/100. Popularity: 0/100. Data bersumber dari multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Terakhir diperbarui: 2026-04-03. Data yang dapat dibaca mesin (JSON).

Apakah Mcpets Aman?

HATI-HATI — Mcpets memiliki Skor Kepercayaan Nerq sebesar 60.5/100 (C). Memiliki sinyal kepercayaan sedang tetapi menunjukkan beberapa area yang perlu diperhatikan. Cocok untuk penggunaan pengembangan — tinjau sinyal keamanan dan pemeliharaan sebelum penerapan produksi.

Analisis Keamanan → Laporan Privasi {name} →

Berapa skor kepercayaan Mcpets?

Mcpets memiliki Skor Kepercayaan Nerq 60.5/100 dengan nilai C. Skor ini didasarkan pada 4 dimensi yang diukur secara independen.

Kepatuhan
100
Pemeliharaan
0
Dokumentasi
0
Popularitas
0

Apa temuan keamanan utama untuk Mcpets?

Sinyal terkuat Mcpets adalah kepatuhan pada 100/100. Tidak ada kerentanan yang diketahui terdeteksi. Belum mencapai ambang verifikasi Nerq 70+.

Pemeliharaan: 0/100 — aktivitas pemeliharaan rendah
Compliance: 100/100 — covers 52 of 52 jurisdictions
Documentation: 0/100 — dokumentasi terbatas
Popularity: 0/100 — 70 bintang di mcp_registry

Apa itu Mcpets dan siapa yang mengelolanya?

PembuatNocsy-Workshop
Kategoriinfrastructure
Bintang70
Sumberhttps://github.com/Nocsy-Workshop/mcpets
Protocolsmcp

Kepatuhan Regulasi

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

Alternatif Populer di infrastructure

n8n-io/n8n
78.5/100 · B
github
langflow-ai/langflow
87.6/100 · A
github
langgenius/dify
79.1/100 · B
github
open-webui/open-webui
74.8/100 · B
github
google-gemini/gemini-cli
71.8/100 · B
github

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 keamanan vulnerabilities, pemeliharaan activity, license kepatuhan, and adopsi komunitas.

How Nerq Assesses Mcpets's Safety

Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensi. 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 keamanan 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 — Tinjau repository keamanan policy, open issues, and recent commits for signs of active pemeliharaan.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in Mcpets's dependency tree.
  3. Ulasan 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. Tinjau 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 keamanan 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. Tinjau tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency keamanan

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

Update frequency

Regularly check for updates to Mcpets. Keamanan 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 kepatuhan

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 kepatuhan with your keamanan policies.

Keep dependencies updated

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

Follow least privilege

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

Monitor for keamanan advisories

Subscribe to Mcpets's keamanan 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:

Skor kepercayaan

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

How Mcpets Compares 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 sedang 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 pemeliharaan 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 keamanan and quality. Conversely, a downward trend may signal reduced pemeliharaan, 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 — keamanan, pemeliharaan, dokumentasi, kepatuhan, and community — has evolved independently, providing granular visibility into which aspects of Mcpets are strengthening or weakening over time.

Mcpets vs Alternatif

Dalam kategori infrastructure, Mcpets mendapat skor 60.5/100. There are higher-scoring alternatives available. For a detailed comparison, see:

Kesimpulan Utama

Pertanyaan yang Sering Diajukan

Apakah Mcpets aman digunakan?
Gunakan dengan hati-hati. mcpets memiliki Skor Kepercayaan Nerq sebesar 60.5/100 (C). Sinyal terkuat: kepatuhan (100/100). Skor berdasarkan pemeliharaan (0/100), popularitas (0/100), dokumentasi (0/100).
Berapa skor kepercayaan Mcpets?
mcpets: 60.5/100 (C). Skor berdasarkan: pemeliharaan (0/100), popularitas (0/100), dokumentasi (0/100). Compliance: 100/100. Skor diperbarui saat data baru tersedia. API: GET nerq.ai/v1/preflight?target=mcpets
Apa alternatif yang lebih aman dari Mcpets?
Dalam kategori infrastructure, alternatif berperingkat lebih tinggi termasuk n8n-io/n8n (78/100), langflow-ai/langflow (88/100), langgenius/dify (79/100). mcpets mendapat skor 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. Data bersumber dari multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Current: 60.5/100 (C), last terverifikasi 2026-04-03. API: GET nerq.ai/v1/preflight?target=mcpets
Bisakah saya menggunakan Mcpets di lingkungan teregulasi?
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: Skor kepercayaan Nerq adalah penilaian otomatis berdasarkan sinyal yang tersedia secara publik. Ini bukan rekomendasi atau jaminan. Selalu lakukan verifikasi mandiri Anda sendiri.

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