Ist Codemode Mcp sicher?
Codemode Mcp — Nerq Trust Score 68.0/100 (Note C). Basierend auf der Analyse von 5 Vertrauensdimensionen wird es als generell sicher, aber mit einigen Bedenken eingestuft. Zuletzt aktualisiert: 2026-04-02.
Verwende Codemode Mcp mit Vorsicht. Codemode Mcp is a software tool mit einer Nerq-Vertrauensbewertung von 68.0/100 (C), based on 5 unabhängige Datendimensionen. It is below the recommended threshold of 70. Sicherheit: 0/100. Wartung: 1/100. Popularity: 0/100. Daten stammen von multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Zuletzt aktualisiert: 2026-04-02. Maschinenlesbare Daten (JSON).
Ist Codemode Mcp sicher?
CAUTION — Codemode Mcp hat eine Nerq-Vertrauensbewertung von 68.0/100 (C). Es hat moderat Vertrauenssignale, zeigt aber einige Problembereiche that warrant attention. Suitable for development use — review Sicherheit and Wartung signals before production deployment.
Was ist die Vertrauensbewertung von Codemode Mcp?
Codemode Mcp hat eine Nerq-Vertrauensbewertung von 68.0/100 und erhält die Note C. Diese Bewertung basiert auf 5 unabhängig gemessenen Dimensionen.
Was sind die wichtigsten Sicherheitsergebnisse für Codemode Mcp?
Das stärkste Signal von Codemode Mcp ist konformität mit 100/100. Es wurden keine bekannten Schwachstellen erkannt. Hat die Nerq-Vertrauensschwelle von 70+ noch nicht erreicht.
Was ist Codemode Mcp und wer pflegt es?
| Autor | goncalorosa96 |
| Kategorie | coding |
| Quelle | https://github.com/goncalorosa96/codemode-mcp |
| Frameworks | mcp |
| Protocols | mcp |
Regulatorische Konformität
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 100/100 |
| Gerichtsbarkeits | Assessed across 52 jurisdictions |
Beliebte Alternativen in 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 Score: 68/100 (C).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including Sicherheit vulnerabilities, Wartung activity, license Konformität, and Community-Akzeptanz.
How Nerq Assesses Codemode Mcp's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five Dimensionen. Here is how Codemode Mcp performs in each:
- Sicherheit (0/100): Codemode Mcp's Sicherheit posture is poor. This score factors in known CVEs, dependency vulnerabilities, Sicherheit policy presence, and code signing practices.
- Wartung (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 Dokumentation, 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. Basierend auf GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 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 Sicherheit 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 — Überprüfen Sie das/die repository's Sicherheit policy, open issues, and recent commits for signs of active Wartung.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Codemode Mcp's dependency tree. - Bewertung 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 - Überprüfen Sie das/die 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 Sicherheit 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. Überprüfen Sie das/die 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 Sicherheit risk.
Regularly check for updates to Codemode Mcp. Sicherheit 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 Konformität assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal Konformität.
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 Konformität with your Sicherheit policies.
Ensure Codemode Mcp and all its dependencies are running the latest stable versions to benefit from Sicherheit patches.
Grant Codemode Mcp only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Codemode Mcp's Sicherheit 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 Konformität review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether Codemode Mcp von 68.0/100 meets your organization's risk tolerance. We recommend running a manual Sicherheit assessment alongside the automated Nerq score.
How Codemode Mcp Vergleichens to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among coding tools, the average Trust Score 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 Dimensionen.
Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks moderat 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 Codemode Mcp 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 Wartung 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 Sicherheit and quality. Conversely, a downward trend may signal reduced Wartung, 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 — Sicherheit, Wartung, Dokumentation, Konformität, and community — has evolved independently, providing granular visibility into which aspects of Codemode Mcp are strengthening or weakening over time.
Codemode Mcp vs Alternativen
In the coding category, Codemode Mcp erzielt 68.0/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Codemode Mcp vs AutoGPT — Trust Score: 74.7/100
- Codemode Mcp vs ollama — Trust Score: 73.8/100
- Codemode Mcp vs langchain — Trust Score: 86.4/100
Wichtigste Punkte
- Codemode Mcp hat eine Vertrauensbewertung von 68.0/100 (C) and is not yet Nerq Verified.
- Codemode Mcp shows moderat trust signals. Conduct thorough due diligence before deploying to production environments.
- Among coding tools, Codemode Mcp erzielt 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.
Häufig gestellte Fragen
Ist Codemode Mcp sicher in der Verwendung?
Was ist Codemode Mcp's trust score?
Was sind sicherere Alternativen zu Codemode Mcp?
How often is Codemode Mcp's safety score updated?
Can I use Codemode Mcp in a regulated environment?
Disclaimer: Nerq-Vertrauensbewertungen sind automatisierte Bewertungen basierend auf öffentlich verfügbaren Signalen. Sie sind keine Empfehlungen oder Garantien. Führen Sie immer Ihre eigene Sorgfaltsprüfung durch.