¿Es Codemode Mcp Seguro?
Codemode Mcp — Nerq Puntuación de Confianza 68.0/100 (Grado C). Basado en el análisis de 5 dimensiones de confianza, se considera generalmente seguro pero con algunas preocupaciones. Última actualización: 2026-04-04.
Usa Codemode Mcp con precaución. Codemode Mcp es un software tool con un Nerq Puntuación de Confianza de 68.0/100 (C), basado en 5 dimensiones de datos independientes. It is below the recommended threshold of 70. Seguridad: 0/100. Mantenimiento: 1/100. Popularidad: 0/100. Datos de multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Última actualización: 2026-04-04. Datos legibles por máquina (JSON).
¿Es Codemode Mcp Seguro?
CAUTION — Codemode Mcp tiene una Puntuación de Confianza Nerq de 68.0/100 (C). Tiene señales de confianza moderadas pero muestra algunas áreas de preocupación that warrant attention. Suitable for development use — review seguridad and mantenimiento signals before production deployment.
¿Cuál es la puntuación de confianza de Codemode Mcp?
Codemode Mcp tiene una Puntuación de Confianza Nerq de 68.0/100, obteniendo un grado C. Esta puntuación se basa en 5 dimensiones medidas independientemente.
¿Cuáles son los hallazgos de seguridad clave de Codemode Mcp?
La señal más fuerte de Codemode Mcp es cumplimiento con 100/100. No se han detectado vulnerabilidades conocidas. Aún no ha alcanzado el umbral verificado de Nerq de 70+.
¿Qué es Codemode Mcp y quién lo mantiene?
| Autor | goncalorosa96 |
| Categoría | coding |
| Fuente | https://github.com/goncalorosa96/codemode-mcp |
| Frameworks | mcp |
| Protocols | mcp |
Cumplimiento Regulatorio
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Alternativas Populares en coding
What Is Codemode Mcp?
Codemode Mcp is a software tool in the coding category: Simplifies MCP server workflow with LLM-generated code.. Nerq Trust Puntuación: 68/100 (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 Codemode Mcp's Safety
Nerq's Puntuación de Confianza is calculated from 13+ independent signals aggregated into five dimensiones. Here is how Codemode Mcp performs in each:
- Seguridad (0/100): Codemode Mcp's seguridad posture is poor. This score factors in known CVEs, dependency vulnerabilities, seguridad policy presence, and code signing practices.
- Mantenimiento (1/100): Codemode Mcp 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): Codemode Mcp 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 Puntuación de Confianza de 68.0/100 (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 Codemode Mcp?
Codemode Mcp is designed for:
- Developers and teams working with coding tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Codemode Mcp is suitable for development and testing environments. Before production deployment, conduct a thorough review of its seguridad posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.
How to Verify Codemode Mcp's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Revisar the 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 Codemode Mcp's dependency tree. - Revisar permissions — Understand what access Codemode Mcp requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Codemode Mcp 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=codemode-mcp - Revisar the license — Confirm that Codemode Mcp'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 Codemode Mcp
When evaluating whether Codemode Mcp is safe, consider these category-specific risks:
Understand how Codemode Mcp processes, stores, and transmits your data. Revisar the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Codemode Mcp's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher seguridad risk.
Regularly check for updates to Codemode Mcp. Seguridad patches and bug fixes are only effective if you're running the latest version.
If Codemode Mcp 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 Codemode Mcp's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Codemode Mcp in violation of its license can expose your organization to legal liability.
Codemode Mcp and the EU AI Act
Codemode Mcp 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 Codemode Mcp Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Codemode Mcp while minimizing risk:
Periodically review how Codemode Mcp is used in your workflow. Check for unexpected behavior, permissions drift, and cumplimiento with your seguridad policies.
Ensure Codemode Mcp and all its dependencies are running the latest stable versions to benefit from seguridad patches.
Grant Codemode Mcp only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Codemode Mcp's seguridad advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Codemode Mcp is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Codemode Mcp?
Even promising tools aren't right for every situation. Consider avoiding Codemode Mcp in these scenarios:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional cumplimiento review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether Codemode Mcp de 68.0/100 meets your organization's risk tolerance. We recommend running a manual seguridad assessment alongside the automated Nerq score.
How Codemode Mcp Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among coding tools, the average Puntuación de Confianza is 62/100. Codemode Mcp's score of 68.0/100 is above the category average of 62/100.
This positions Codemode Mcp favorably among coding 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.
Puntuación de Confianza History
Nerq continuously monitors Codemode Mcp and recalculates its Puntuación de Confianza 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, Codemode Mcp'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 Codemode Mcp's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=codemode-mcp&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 Codemode Mcp are strengthening or weakening over time.
Codemode Mcp vs Alternativas
In the coding category, Codemode Mcp tiene una puntuación de 68.0/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Codemode Mcp vs AutoGPT — Trust Puntuación: 74.7/100
- Codemode Mcp vs ollama — Trust Puntuación: 73.8/100
- Codemode Mcp vs langchain — Trust Puntuación: 86.4/100
Puntos Clave
- Codemode Mcp tiene una Puntuación de Confianza de 68.0/100 (C) and is not yet Nerq Verified.
- Codemode Mcp shows moderado trust signals. Conduct thorough due diligence before deploying to production environments.
- Among coding tools, Codemode Mcp scores above the category average of 62/100, demonstrating above-average reliability.
- Always verify safety independently — use Nerq's Preflight API for automated, up-to-date trust checks before integration.
Preguntas Frecuentes
¿Es Codemode Mcp safe to use?
¿Cuál es la puntuación de confianza de Codemode Mcp?
¿Cuáles son alternativas más seguras a Codemode Mcp?
How often is Codemode Mcp's safety score updated?
Can I use Codemode Mcp in a regulated environment?
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.