¿Es Kbs Mcp Server Seguro?
Kbs Mcp Server — Nerq Trust Score 65.9/100 (Grado C). Puntuación basada en 5 independent trust signals.
Kbs Mcp Server es un software tool con un Nerq Trust Score de 65.9/100 (C), basado en 5 dimensiones de datos independientes. Seguridad: 0/100. Mantenimiento: 1/100. Popularidad: 0/100. Datos de múltiples fuentes públicas incluyendo registros de paquetes, GitHub, NVD, OSV.dev y OpenSSF Scorecard. Última actualización: n/a. Datos legibles por máquina (JSON).
¿Es Kbs Mcp Server Seguro?
Desglose de Puntuación de Confianza — Kbs Mcp Server has a Nerq Trust Score of 65.9/100 (C). Measured across 5 independent trust signals.
¿Cuál es la puntuación de confianza de Kbs Mcp Server?
Kbs Mcp Server tiene una Puntuación de Confianza Nerq de 65.9/100, obteniendo un grado C. Esta puntuación se basa en 5 dimensiones medidas independientemente.
¿Cuáles son los hallazgos de seguridad clave de Kbs Mcp Server?
La señal más fuerte de Kbs Mcp Server es cumplimiento con 100/100. No se han detectado vulnerabilidades conocidas.
¿Qué es Kbs Mcp Server y quién lo mantiene?
| Autor | itsorivera |
| Categoría | Data |
| Fuente | https://github.com/itsorivera/kbs-mcp-server |
| Frameworks | mcp |
| Protocols | mcp |
Cumplimiento Regulatorio
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Alternativas Populares en data
What Is Kbs Mcp Server?
Kbs Mcp Server is a software tool in the data category: MCP server for discovering and querying knowledge bases.. Nerq Trust Score: 66/100 (C).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including seguridad vulnerabilities, mantenimiento activity, license cumplimiento, and adopción por la comunidad.
How Nerq Assesses Kbs Mcp Server's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensiones. Here is how Kbs Mcp Server performs in each:
- Seguridad (0/100): Kbs Mcp Server's seguridad posture is poor. This score factors in known CVEs, dependency vulnerabilities, seguridad policy presence, and code signing practices.
- Mantenimiento (1/100): Kbs Mcp Server is potentially abandoned. We track commit frequency, release cadence, issue response times, and PR merge rates.
- Documentation (0/100): Documentation quality is insufficient. This includes README completeness, API documentación, usage examples, and contribution guidelines.
- Compliance (100/100): Kbs Mcp Server is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. Basado en GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 65.9/100 (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 Kbs Mcp Server?
Kbs Mcp Server is commonly evaluated by:
- Developers and teams working with data tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
How to read the signals: Kbs Mcp Server's measured signals (seguridad 0/100, mantenimiento 1/100, documentación 0/100, community 0/100) 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 Kbs Mcp Server's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Revisar el/la repository's seguridad policy, open issues, and recent commits for signs of active mantenimiento.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Kbs Mcp Server's dependency tree. - Reseña permissions — Understand what access Kbs Mcp Server requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Kbs Mcp Server in a sandboxed environment before granting access to production data or systems.
- Monitor continuously — Use Nerq's API to set up automated trust checks:
GET nerq.ai/v1/preflight?target=kbs-mcp-server - Revisar el/la license — Confirm that Kbs Mcp Server'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.
- 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 seguridad concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Kbs Mcp Server
When evaluating whether Kbs Mcp Server is safe, consider these category-specific risks:
Understand how Kbs Mcp Server processes, stores, and transmits your data. Revisar el/la tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Kbs Mcp Server's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher seguridad risk.
Regularly check for updates to Kbs Mcp Server. Seguridad patches and bug fixes are only effective if you're running the latest version.
If Kbs Mcp Server 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.
Verify that Kbs Mcp Server's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Kbs Mcp Server in violation of its license can expose your organization to legal liability.
Kbs Mcp Server and the EU AI Act
Kbs Mcp Server is classified as Minimal Risk under the EU AI Act. This is the lowest risk category, meaning it faces minimal regulatory requirements. However, transparency obligations still apply.
Nerq's cumplimiento assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal cumplimiento.
Best Practices for Using Kbs Mcp Server Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Kbs Mcp Server while minimizing risk:
Periodically review how Kbs Mcp Server is used in your workflow. Check for unexpected behavior, permissions drift, and cumplimiento with your seguridad policies.
Ensure Kbs Mcp Server and all its dependencies are running the latest stable versions to benefit from seguridad patches.
Grant Kbs Mcp Server only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Kbs Mcp Server's seguridad advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Kbs Mcp Server is used within your organization, including data handling guidelines and acceptable use cases.
Situations That Warrant Independent Review of Kbs Mcp Server
Nerq's signals are one input. In the following situations, evaluate Kbs Mcp Server's measured signals against your own requirements before making a decision:
- Environments handling sensitive or regulated data (healthcare, finance, government)
- Mission-critical systems where downtime has significant business impact
- Deployments with strict regulatory requirements that must be independently validated
For each situation, compare Kbs Mcp Server's measured trust score of 65.9/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Kbs Mcp Server is suitable for any particular use.
How Kbs Mcp Server Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among data tools, the average Trust Score is 62/100. Kbs Mcp Server's score of 65.9/100 is above the category average of 62/100.
This positions Kbs Mcp Server favorably among data tools. While it outperforms the average, there is still room for improvement in certain trust dimensiones.
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 Kbs Mcp Server 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 mantenimiento patterns change, Kbs Mcp Server'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 seguridad and quality. Conversely, a downward trend may signal reduced mantenimiento, growing technical debt, or unresolved vulnerabilities. To track Kbs Mcp Server's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=kbs-mcp-server&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 — seguridad, mantenimiento, documentación, cumplimiento, and community — has evolved independently, providing granular visibility into which aspects of Kbs Mcp Server are strengthening or weakening over time.
Kbs Mcp Server vs Alternativas
In the data category, Kbs Mcp Server scores 65.9/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Kbs Mcp Server vs firecrawl — Trust Score: 64.4/100
- Kbs Mcp Server vs MinerU — Trust Score: 76.6/100
- Kbs Mcp Server vs mindsdb — Trust Score: 68.1/100
Puntos Clave
- Kbs Mcp Server has a measured Nerq Trust Score of 65.9/100 (C) — a composite of independent signals, not a suitability judgment.
- Among data tools, Kbs Mcp Server scores above the category average of 62/100 (a positional measurement relative to peers).
- The individual signals — seguridad, mantenimiento, documentación, cumplimiento, community — are shown above. Weigh them against your own requirements.
- Query the current measured values via Nerq's Preflight API.
Preguntas Frecuentes
¿Es Kbs Mcp Server Seguro?
¿Cuál es la puntuación de confianza de Kbs Mcp Server?
¿Cuáles son alternativas más seguras a Kbs Mcp Server?
¿Con qué frecuencia se actualiza la puntuación de Kbs Mcp Server?
¿Puedo usar Kbs Mcp Server en un entorno regulado?
Ver también
Disclaimer: Las puntuaciones de confianza de Nerq son evaluaciones automatizadas basadas en señales disponibles públicamente. No son respaldos ni garantías. Siempre realice su propia diligencia debida.