Apakah Codemode Mcp Aman?

Codemode Mcp — Nerq Trust Score 68.0/100 (Nilai C). Berdasarkan analisis 5 dimensi kepercayaan, dianggap umumnya aman tetapi memiliki beberapa kekhawatiran. Terakhir diperbarui: 2026-04-06.

Gunakan Codemode Mcp dengan hati-hati. Codemode Mcp adalah software tool dengan Skor Kepercayaan Nerq sebesar 68.0/100 (C), based on 5 dimensi data independen. Di bawah ambang batas terverifikasi Nerq Keamanan: 0/100. Pemeliharaan: 1/100. Popularitas: 0/100. Data bersumber dari berbagai sumber publik termasuk registri paket, GitHub, NVD, OSV.dev, dan OpenSSF Scorecard. Terakhir diperbarui: 2026-04-06. Data yang dapat dibaca mesin (JSON).

Apakah Codemode Mcp Aman?

CAUTION — Codemode Mcp has a Nerq Trust Score of 68.0/100 (C). Memiliki sinyal kepercayaan sedang tetapi menunjukkan beberapa area perhatian that warrant attention. Suitable for development use — review keamanan and pemeliharaan signals before production deployment.

Analisis Keamanan → Laporan Privasi Codemode Mcp →

Berapa skor kepercayaan Codemode Mcp?

Codemode Mcp memiliki Skor Kepercayaan Nerq 68.0/100 dengan nilai C. Skor ini didasarkan pada 5 dimensi yang diukur secara independen.

Keamanan
0
Kepatuhan
100
Pemeliharaan
1
Dokumentasi
1
Popularitas
0

Apa temuan keamanan utama untuk Codemode Mcp?

Sinyal terkuat Codemode Mcp adalah kepatuhan pada 100/100. Tidak ada kerentanan yang diketahui terdeteksi. Belum mencapai ambang verifikasi Nerq 70+.

Skor keamanan: 0/100 (lemah)
Pemeliharaan: 1/100 — aktivitas pemeliharaan rendah
Kepatuhan: 100/100 — covers 52 of 52 jurisdictions
Dokumentasi: 1/100 — dokumentasi terbatas
Popularitas: 0/100 — adopsi komunitas

Apa itu Codemode Mcp dan siapa yang mengelolanya?

Pembuatgoncalorosa96
KategoriCoding
Sumberhttps://github.com/goncalorosa96/codemode-mcp
Frameworksmcp
Protocolsmcp

Kepatuhan Regulasi

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

Alternatif Populer di 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 keamanan vulnerabilities, pemeliharaan activity, license kepatuhan, and adopsi komunitas.

How Nerq Assesses Codemode Mcp's Safety

Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensi. 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 keamanan 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 — Tinjau repository's keamanan policy, open issues, and recent commits for signs of active pemeliharaan.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in Codemode Mcp's dependency tree.
  3. Ulasan 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. Tinjau 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 keamanan 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. Tinjau tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency keamanan

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

Update frequency

Regularly check for updates to Codemode Mcp. Keamanan 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 kepatuhan

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

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 kepatuhan with your keamanan policies.

Keep dependencies updated

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

Follow least privilege

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

Monitor for keamanan advisories

Subscribe to Codemode Mcp's keamanan 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:

For each scenario, evaluate whether Codemode Mcp's trust score of 68.0/100 meets your organization's risk tolerance. We recommend running a manual keamanan 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 dimensi.

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

Codemode Mcp vs Alternatif

In the coding category, Codemode Mcp scores 68.0/100. There are higher-scoring alternatives available. For a detailed comparison, see:

Kesimpulan Utama

Pertanyaan yang Sering Diajukan

Apakah Codemode Mcp Aman?
Gunakan dengan hati-hati. codemode-mcp dengan Skor Kepercayaan Nerq sebesar 68.0/100 (C). Sinyal terkuat: kepatuhan (100/100). Skor berdasarkan Keamanan (0/100), Pemeliharaan (1/100), Popularitas (0/100), Dokumentasi (1/100).
Berapa skor kepercayaan Codemode Mcp?
codemode-mcp: 68.0/100 (C). Skor berdasarkan Keamanan (0/100), Pemeliharaan (1/100), Popularitas (0/100), Dokumentasi (1/100). Compliance: 100/100. Skor diperbarui saat data baru tersedia. API: GET nerq.ai/v1/preflight?target=codemode-mcp
What are safer alternatives to Codemode Mcp?
Dalam kategori Coding, higher-rated alternatives include Significant-Gravitas/AutoGPT (75/100), ollama/ollama (74/100), langchain-ai/langchain (86/100). codemode-mcp scores 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 bersumber dari berbagai sumber publik termasuk registri paket, GitHub, NVD, OSV.dev, dan OpenSSF Scorecard. Current: 68.0/100 (C), last terverifikasi 2026-04-06. API: GET nerq.ai/v1/preflight?target=codemode-mcp
Can I use Codemode Mcp in a regulated environment?
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

Lihat juga

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