Je Codemode Mcp bezpečný?

Codemode Mcp — Nerq Trust Score 68.0/100 (Stupeň C). Na základě analýzy 5 dimenzí důvěryhodnosti je obecně bezpečný, ale s některými obavami. Naposledy aktualizováno: 2026-03-31.

Používejte Codemode Mcp s opatrností. Codemode Mcp is a software tool se skóre důvěryhodnosti Nerq 68.0/100 (C), based on 5 independent data dimensions. Je pod doporučeným prahem 70. Security: 0/100. Maintenance: 1/100. Popularity: 0/100. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-31. Strojově čitelná data (JSON).

Je Codemode Mcp bezpečný?

OPATRNOST — Codemode Mcp má skóre důvěryhodnosti Nerq 68.0/100 (C). Má střední signály důvěryhodnosti, ale vykazuje některé oblasti vyžadující pozornost. Vhodné pro vývojové použití — zkontrolujte bezpečnostní signály a signály údržby před nasazením do produkce.

Bezpečnostní analýza → Zpráva o soukromí {name} →

Jaké je skóre důvěryhodnosti Codemode Mcp?

Codemode Mcp má Nerq skóre důvěryhodnosti 68.0/100 se stupněm C. Toto skóre je založeno na 5 nezávisle měřených dimenzích.

Bezpečnost
0
Shoda
100
Údržba
1
Dokumentace
1
Popularita
0

Jaká jsou klíčová bezpečnostní zjištění pro Codemode Mcp?

Nejsilnější signál Codemode Mcp je shoda na 100/100. Nebyly zjištěny žádné známé zranitelnosti. Dosud nedosáhl ověřeného prahu Nerq 70+.

Bezpečnostní skóre: 0/100 (weak)
Maintenance: 1/100 — low maintenance activity
Compliance: 100/100 — covers 52 of 52 jurisdictions
Documentation: 1/100 — limited documentation
Popularity: 0/100 — community adoption

Co je Codemode Mcp a kdo jej spravuje?

Autorgoncalorosa96
Kategoriecoding
Zdrojhttps://github.com/goncalorosa96/codemode-mcp
Frameworksmcp
Protocolsmcp

Regulační shoda

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

Populární alternativy v coding

Significant-Gravitas/AutoGPT
74.7/100 · B
github
ollama/ollama
73.8/100 · B
github
langchain-ai/langchain
86.4/100 · A
github
x1xhlol/system-prompts-and-models-of-ai-tools
73.8/100 · B
github
anomalyco/opencode
87.9/100 · A
github

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 security vulnerabilities, maintenance activity, license compliance, and community adoption.

How Nerq Assesses Codemode Mcp's Safety

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

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:

Risk guidance: Codemode Mcp is suitable for development and testing environments. Before production deployment, conduct a thorough review of its security 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:

  1. Check the source code — Review the repository's security 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 Codemode Mcp's dependency tree.
  3. Recenze permissions — Understand what access Codemode Mcp requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Codemode Mcp 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=codemode-mcp
  6. Zkontrolujte 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.
  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 security 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:

Data handling

Understand how Codemode Mcp processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency security

Check Codemode Mcp's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.

Update frequency

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

Third-party integrations

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.

License and IP compliance

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 compliance assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal compliance.

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:

Conduct regular audits

Periodically review how Codemode Mcp is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.

Keep dependencies updated

Ensure Codemode Mcp and all its dependencies are running the latest stable versions to benefit from security patches.

Follow least privilege

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

Monitor for security advisories

Subscribe to Codemode Mcp's security 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 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:

skóre důvěryhodnosti

For each scenario, evaluate whether Codemode Mcp 68.0/100 meets your organization's risk tolerance. We recommend running a manual security 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 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 dimensions.

Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks moderate 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 maintenance 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 security and quality. Conversely, a downward trend may signal reduced maintenance, 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 — security, maintenance, documentation, compliance, and community — has evolved independently, providing granular visibility into which aspects of Codemode Mcp are strengthening or weakening over time.

Codemode Mcp vs Alternatives

V kategorii coding, Codemode Mcp získal skóre 68.0/100. There are higher-scoring alternatives available. For a detailed comparison, see:

Hlavní závěry

Často kladené otázky

Je Codemode Mcp bezpečný k použití?
Používejte s opatrností. codemode-mcp má skóre důvěryhodnosti Nerq 68.0/100 (C). Nejsilnější signál: shoda (100/100). Skóre založeno na security (0/100), maintenance (1/100), popularity (0/100), documentation (1/100).
Jaké je skóre důvěryhodnosti Codemode Mcp?
codemode-mcp: 68.0/100 (C). Skóre založeno na: security (0/100), maintenance (1/100), popularity (0/100), documentation (1/100). Compliance: 100/100. Skóre se aktualizují, jakmile jsou k dispozici nová data. API: GET nerq.ai/v1/preflight?target=codemode-mcp
Jaké jsou bezpečnější alternativy k Codemode Mcp?
V kategorii coding, lépe hodnocené alternativy zahrnují Significant-Gravitas/AutoGPT (75/100), ollama/ollama (74/100), langchain-ai/langchain (86/100). codemode-mcp získal skóre 68.0/100.
How often is Codemode Mcp's safety score updated?
Nerq continuously monitors Codemode Mcp and updates its trust score as new data becomes available. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Current: 68.0/100 (C), last verified 2026-03-31. API: GET nerq.ai/v1/preflight?target=codemode-mcp
Mohu použít Codemode Mcp v regulovaném prostředí?
Codemode Mcp has not reached the Nerq Verified threshold of 70. Additional due diligence is recommended for regulated environments.
API: /v1/preflight Trust Badge API Docs

Disclaimer: Skóre důvěryhodnosti Nerq jsou automatizovaná hodnocení založená na veřejně dostupných signálech. Nejsou doporučením ani zárukou. Vždy proveďte vlastní ověření.

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