Mcpb est-il sûr ?

Mcpb — Nerq Trust Score 67.9/100 (Note C). Score basé sur 4 independent trust signals.

Mcpb est un software tool avec un Nerq Trust Score de 67.9/100 (C), basé sur 4 dimensions de données indépendantes. Maintenance: 0/100. Popularité: 1/100. Données de plusieurs sources publiques dont les registres de paquets, GitHub, NVD, OSV.dev et OpenSSF Scorecard. Dernière mise à jour: n/a. Données lisibles par machine (JSON).

Mcpb est-il sûr ?

Détail du score de confiance — Mcpb has a Nerq Trust Score of 67.9/100 (C). Measured across 4 independent trust signals.

Analyse de Sécurité → Rapport de confidentialité de Mcpb →

Quel est le score de confiance de Mcpb ?

Mcpb a un Score de Confiance Nerq de 67.9/100, obtenant la note C. Ce score est basé sur 4 dimensions mesurées indépendamment.

Conformité
100
Maintenance
0
Documentation
0
Popularité
1

Quels sont les résultats de sécurité clés pour Mcpb ?

Le signal le plus fort de Mcpb est conformité à 100/100. Aucune vulnérabilité connue n'a été détectée.

⚠Maintenance: 0/100 — faible activité de maintenance
⚠Conformité: 100/100 — covers 52 of 52 jurisdictions
⚠Documentation: 0/100 — documentation limitée
⚠Popularité: 1/100 — 1,717 étoiles sur mcp registry

Qu'est-ce que Mcpb et qui le maintient ?

Auteurmodelcontextprotocol
CatégorieInfrastructure
Étoiles1,717
Sourcehttps://github.com/modelcontextprotocol/mcpb
Protocolsmcp

Conformité réglementaire

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

Alternatives populaires dans infrastructure

n8n-io/n8n
69.1/100 · C
github
langflow-ai/langflow
77.0/100 · B
github
langgenius/dify
69.7/100 · C
github
open-webui/open-webui
60.4/100 · C
github
google-gemini/gemini-cli
56.2/100 · D
github

Mcpb sur d'autres plateformes

Même développeur/entreprise dans d'autres registres :

ModelContextProtocol.AspNetCore
50/100 · nuget
ModelContextProtocol.Core
50/100 · nuget

What Is Mcpb?

Mcpb is a software tool in the infrastructure category: Desktop Extensions: One-click local MCP server installation in desktop apps. It has 1,717 GitHub stars. Nerq Trust Score: 68/100 (C).

Nerq independently analyzes every software tool, app, and extension across multiple trust signals including sécurité vulnerabilities, maintenance activity, license conformité, and adoption par la communauté.

How Nerq Assesses Mcpb's Safety

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

The overall Trust Score of 67.9/100 (C) is the weighted combination of these measured signals. It is a measurement, not a pass/fail or suitability judgment — weigh the individual signals against your own requirements.

Who Typically Evaluates Mcpb?

Mcpb is commonly evaluated by:

How to read the signals: Mcpb's measured signals (maintenance 0/100, documentation 0/100, community 1/100) are shown above. These are measurements, not a suitability judgment — weigh each signal against the requirements of your own use case and risk tolerance.

How to Verify Mcpb's Safety Yourself

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

  1. Check the source code — Examiner le/la repository sécurité policy, open issues, and recent commits for signs of active maintenance.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in Mcpb's dependency tree.
  3. Avis permissions — Understand what access Mcpb requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Mcpb 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=mcpb
  6. Examiner le/la license — Confirm that Mcpb'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 sécurité concerns openly. Low community engagement may indicate limited peer review of the codebase.

Common Safety Concerns with Mcpb

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

Data handling

Understand how Mcpb processes, stores, and transmits your data. Examiner le/la tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency sécurité

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

Update frequency

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

Third-party integrations

If Mcpb 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 conformité

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

Best Practices for Using Mcpb Safely

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

Conduct regular audits

Periodically review how Mcpb is used in your workflow. Check for unexpected behavior, permissions drift, and conformité with your sécurité policies.

Keep dependencies updated

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

Follow least privilege

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

Monitor for sécurité advisories

Subscribe to Mcpb's sécurité 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 Mcpb is used within your organization, including data handling guidelines and acceptable use cases.

Situations That Warrant Independent Review of Mcpb

Nerq's signals are one input. In the following situations, evaluate Mcpb's measured signals against your own requirements before making a decision:

For each situation, compare Mcpb's measured trust score of 67.9/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Mcpb is suitable for any particular use.

How Mcpb 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. Mcpb's score of 67.9/100 is above the category average of 62/100.

This positions Mcpb favorably among infrastructure tools. While it outperforms the average, there is still room for improvement in certain trust dimensions.

Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks modéré 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 Mcpb 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 maintenance patterns change, Mcpb'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 sécurité and quality. Conversely, a downward trend may signal reduced maintenance, growing technical debt, or unresolved vulnerabilities. To track Mcpb's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=mcpb&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 — sécurité, maintenance, documentation, conformité, and community — has evolved independently, providing granular visibility into which aspects of Mcpb are strengthening or weakening over time.

Mcpb vs Alternatives

In the infrastructure category, Mcpb scores 67.9/100. There are higher-scoring alternatives available. For a detailed comparison, see:

Points Essentiels

Questions fréquentes

Mcpb est-il sûr ?
mcpb avec un Nerq Trust Score de 67.9/100 (C). Signal le plus fort : conformité (100/100). Score basé sur Maintenance (0/100), Popularité (1/100), Documentation (0/100).
Quel est le score de confiance de Mcpb ?
mcpb: 67.9/100 (C). Score basé sur Maintenance (0/100), Popularité (1/100), Documentation (0/100). Compliance: 100/100. Les scores sont mis à jour lorsque de nouvelles données sont disponibles. API: GET nerq.ai/v1/preflight?target=mcpb
Quelles sont les alternatives plus sûres à Mcpb ?
Dans la catégorie Infrastructure, higher-rated alternatives include n8n-io/n8n (69/100), langflow-ai/langflow (77/100), langgenius/dify (70/100). mcpb scores 67.9/100.
À quelle fréquence le score de sécurité de Mcpb est-il mis à jour ?
Nerq recomputes Mcpb's trust score as new data becomes available. Current: 67.9/100 (C). API: GET nerq.ai/v1/preflight?target=mcpb
Puis-je utiliser Mcpb dans un environnement réglementé ?
Mcpb: 67.9/100 (C). Compliance: 52 of 52 jurisdictions. Evaluate against your own regulatory requirements.
API: /v1/preflight Trust Badge API Docs

Voir aussi

Disclaimer: Les scores de confiance Nerq sont des évaluations automatisées basées sur des signaux publiquement disponibles. Ce ne sont pas des recommandations ou des garanties. Effectuez toujours votre propre vérification.

Nous utilisons des cookies pour l'analyse et le cache. Confidentialité