¿Es Mcp Gtfs Seguro?
Mcp Gtfs — Nerq Trust Score 62.7/100 (Grado C). Puntuación basada en 5 independent trust signals.
Mcp Gtfs es un software tool con un Nerq Trust Score de 62.7/100 (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 Mcp Gtfs Seguro?
Desglose de Puntuación de Confianza — Mcp Gtfs has a Nerq Trust Score of 62.7/100 (C). Measured across 5 independent trust signals.
¿Cuál es la puntuación de confianza de Mcp Gtfs?
Mcp Gtfs tiene una Puntuación de Confianza Nerq de 62.7/100, obteniendo un grado C. Esta puntuación se basa en 5 dimensiones medidas independientemente.
¿Cuáles son los hallazgos de seguridad clave de Mcp Gtfs?
La señal más fuerte de Mcp Gtfs es cumplimiento con 100/100. No se han detectado vulnerabilidades conocidas.
¿Qué es Mcp Gtfs y quién lo mantiene?
| Autor | zvvch |
| Categoría | Data |
| Estrellas | 1 |
| Fuente | https://github.com/zvvch/mcp-gtfs |
| Frameworks | anthropic |
| Protocols | mcp · rest |
Cumplimiento Regulatorio
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Alternativas Populares en data
What Is Mcp Gtfs?
Mcp Gtfs is a software tool in the data category: MCP-Server für GTFS-Daten des ZVV, optimiert für AI/LLM-Projekte.. It has 1 GitHub stars. Nerq Trust Score: 63/100 (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 Mcp Gtfs's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensiones. Here is how Mcp Gtfs performs in each:
- Seguridad (0/100): Mcp Gtfs's seguridad posture is poor. This score factors in known CVEs, dependency vulnerabilities, seguridad policy presence, and code signing practices.
- Mantenimiento (1/100): Mcp Gtfs is potentially abandoned. We track commit frequency, release cadence, issue response times, and PR merge rates.
- Documentation (1/100): Documentation quality is insufficient. This includes README completeness, API documentación, usage examples, and contribution guidelines.
- Compliance (100/100): Mcp Gtfs 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 62.7/100 (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 Mcp Gtfs?
Mcp Gtfs 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: Mcp Gtfs's measured signals (seguridad 0/100, mantenimiento 1/100, documentación 1/100, 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 Mcp Gtfs'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 Mcp Gtfs's dependency tree. - Reseña permissions — Understand what access Mcp Gtfs requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Mcp Gtfs 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=mcp-gtfs - Revisar el/la license — Confirm that Mcp Gtfs'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 Mcp Gtfs
When evaluating whether Mcp Gtfs is safe, consider these category-specific risks:
Understand how Mcp Gtfs processes, stores, and transmits your data. Revisar el/la tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Mcp Gtfs's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher seguridad risk.
Regularly check for updates to Mcp Gtfs. Seguridad patches and bug fixes are only effective if you're running the latest version.
If Mcp Gtfs 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 Mcp Gtfs's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Mcp Gtfs in violation of its license can expose your organization to legal liability.
Mcp Gtfs and the EU AI Act
Mcp Gtfs 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 Mcp Gtfs Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Mcp Gtfs while minimizing risk:
Periodically review how Mcp Gtfs is used in your workflow. Check for unexpected behavior, permissions drift, and cumplimiento with your seguridad policies.
Ensure Mcp Gtfs and all its dependencies are running the latest stable versions to benefit from seguridad patches.
Grant Mcp Gtfs only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Mcp Gtfs's seguridad advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Mcp Gtfs is used within your organization, including data handling guidelines and acceptable use cases.
Situations That Warrant Independent Review of Mcp Gtfs
Nerq's signals are one input. In the following situations, evaluate Mcp Gtfs'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 Mcp Gtfs's measured trust score of 62.7/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Mcp Gtfs is suitable for any particular use.
How Mcp Gtfs 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. Mcp Gtfs's score of 62.7/100 is above the category average of 62/100.
This positions Mcp Gtfs 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 Mcp Gtfs 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, Mcp Gtfs'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 Mcp Gtfs's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=mcp-gtfs&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 Mcp Gtfs are strengthening or weakening over time.
Mcp Gtfs vs Alternativas
In the data category, Mcp Gtfs scores 62.7/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Mcp Gtfs vs firecrawl — Trust Score: 64.4/100
- Mcp Gtfs vs MinerU — Trust Score: 76.6/100
- Mcp Gtfs vs mindsdb — Trust Score: 68.1/100
Puntos Clave
- Mcp Gtfs has a measured Nerq Trust Score of 62.7/100 (C) — a composite of independent signals, not a suitability judgment.
- Among data tools, Mcp Gtfs 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 Mcp Gtfs Seguro?
¿Cuál es la puntuación de confianza de Mcp Gtfs?
¿Cuáles son alternativas más seguras a Mcp Gtfs?
¿Con qué frecuencia se actualiza la puntuación de Mcp Gtfs?
¿Puedo usar Mcp Gtfs 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.