Mcpets é seguro?

Mcpets — Nerq Trust Score 60.5/100 (Grau C). Com base na análise de 4 dimensões de confiança, é geralmente seguro, mas com algumas preocupações. Última atualização: 2026-04-02.

Use Mcpets com cautela. Mcpets is a software tool com uma Pontuação de Confiança Nerq de 60.5/100 (C), based on 4 dimensões de dados independentes. It is below the recommended threshold of 70. Manutenção: 0/100. Popularity: 0/100. Dados obtidos de multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Última atualização: 2026-04-02. Dados legíveis por máquina (JSON).

Mcpets é seguro?

CAUTION — Mcpets tem uma Pontuação de Confiança Nerq de 60.5/100 (C). Possui sinais de confiança moderados, mas apresenta algumas áreas de preocupação that warrant attention. Suitable for development use — review segurança and manutenção signals before production deployment.

Análise de Segurança → Relatório de Privacidade →

Qual é a pontuação de confiança de Mcpets?

Mcpets tem uma Pontuação de Confiança Nerq de 60.5/100, obtendo grau C. Esta pontuação é baseada em 4 dimensões medidas independentemente.

Compliance
100
Manutenção
0
Documentação
0
Popularidade
0

Quais são as principais descobertas de segurança de Mcpets?

O sinal mais forte de Mcpets é conformidade com 100/100. Nenhuma vulnerabilidade conhecida foi detectada. Ainda não atingiu o limiar verificado Nerq de 70+.

Manutenção: 0/100 — baixa atividade de manutenção
Compliance: 100/100 — covers 52 of 52 jurisdictions
Documentation: 0/100 — documentação limitada
Popularity: 0/100 — 70 estrelas em mcp_registry

O que é Mcpets e quem o mantém?

AutorNocsy-Workshop
Categoriainfrastructure
Stars70
Sourcehttps://github.com/Nocsy-Workshop/mcpets
Protocolsmcp

Conformidade Regulatória

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

Alternativas Populares em infrastructure

n8n-io/n8n
78.5/100 · B
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langflow-ai/langflow
87.6/100 · A
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langgenius/dify
79.1/100 · B
github
open-webui/open-webui
74.8/100 · B
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google-gemini/gemini-cli
71.8/100 · B
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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 segurança vulnerabilities, manutenção activity, license conformidade, and adoção pela comunidade.

How Nerq Assesses Mcpets's Safety

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

Dependency segurança

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

Update frequency

Regularly check for updates to Mcpets. Segurança 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 conformidade

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 conformidade with your segurança policies.

Keep dependencies updated

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

Follow least privilege

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

Monitor for segurança advisories

Subscribe to Mcpets's segurança 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:

A pontuação de confiança de

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

How Mcpets Comparars 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 moderado 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 manutenção 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 segurança and quality. Conversely, a downward trend may signal reduced manutenção, 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 — segurança, manutenção, documentação, conformidade, and community — has evolved independently, providing granular visibility into which aspects of Mcpets are strengthening or weakening over time.

Mcpets vs Alternativas

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

Pontos Principais

Perguntas Frequentes

É Mcpets seguro para usar?
Usar com cautela. mcpets tem uma Pontuação de Confiança Nerq de 60.5/100 (C). Sinal mais forte: conformidade (100/100). Pontuação baseada em manutenção (0/100), popularidade (0/100), documentação (0/100).
O que é Mcpets's trust score?
mcpets: 60.5/100 (C). Pontuação baseada em: manutenção (0/100), popularidade (0/100), documentação (0/100). Compliance: 100/100. Scores update as new data becomes available. API: GET nerq.ai/v1/preflight?target=mcpets
Quais são alternativas mais seguras a Mcpets?
In the infrastructure category, higher-rated alternatives include n8n-io/n8n (78/100), langflow-ai/langflow (88/100), langgenius/dify (79/100). mcpets scores 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. Dados obtidos de multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Current: 60.5/100 (C), last verificado 2026-04-02. 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: As pontuações de confiança da Nerq são avaliações automatizadas baseadas em sinais publicamente disponíveis. Não são endossos ou garantias. Sempre realize sua própria verificação.

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