Superset Mcp은(는) 안전한가요?

Superset Mcp — Nerq Trust Score 62.4/100 (C 등급). 4 independent trust signals 기반 점수.

Superset Mcp 은(는) software tool입니다 (connect to 50+ data stores via superset mcp server) Nerq 신뢰 점수 62.4/100 (C), 4개의 독립적으로 측정된 데이터 차원 기반. 유지보수: 0/100. 인기도: 1/100. 패키지 레지스트리, GitHub, NVD, OSV.dev, OpenSSF Scorecard를 포함한 여러 공개 소스에서 수집된 데이터. 마지막 업데이트: n/a. 기계 판독 가능 데이터 (JSON).

Superset Mcp은(는) 안전한가요?

신뢰 점수 세부 정보 — Superset Mcp has a Nerq Trust Score of 62.4/100 (C). Measured across 4 independent trust signals.

보안 분석 → Superset Mcp 개인정보 보고서 →

Superset Mcp의 신뢰 점수는?

Superset Mcp의 Nerq 신뢰 점수는 62.4/100이며 C 등급입니다. 이 점수는 보안, 유지보수, 커뮤니티 채택을 포함한 4개의 독립적으로 측정된 차원을 기반으로 합니다.

규정 준수
100
유지보수
0
문서화
0
인기도
1

Superset Mcp의 주요 보안 발견 사항은?

Superset Mcp의 가장 강한 신호는 규정 준수이며 100/100입니다. 알려진 취약점이 감지되지 않았습니다.

⚠유지보수: 0/100 — 낮은 유지관리 활동
⚠규정 준수: 100/100 — covers 52 of 52 관할권s
⚠문서화: 0/100 — 제한적 문서화
⚠인기도: 1/100 — 161 스타 수: mcp registry

Superset Mcp은(는) 무엇이며 누가 관리하나요?

개발자aptro
카테고리인프라
스타161
출처https://github.com/aptro/superset-mcp
Protocolsmcp

규정 준수

EU AI Act Risk ClassNot assessed
Compliance Score100/100
JurisdictionsAssessed across 52 관할권s

infrastructure의 인기 대안

n8n-io/n8n
69.1/100 · C
github
langflow-ai/langflow
77.0/100 · B
github
langgenius/dify
69.7/100 · C
github
open-webui/open-webui
60.4/100 · C
github
google-gemini/gemini-cli
56.2/100 · D
github

다른 플랫폼의 Superset Mcp

다른 레지스트리의 동일 개발자/회사:

sails-helper
48/100 · npm

What Is Superset Mcp?

Superset Mcp is a software tool in the infrastructure category: connect to 50+ data stores via superset mcp server. Can use with open ai agent sdk, Claude app, cursor, windsurf. It has 161 GitHub stars. Nerq Trust Score: 62/100 (C).

Nerq independently analyzes every software tool, app, and extension across multiple trust signals including 보안 vulnerabilities, 유지보수 activity, license 규정 준수, and 커뮤니티 채택.

How Nerq Assesses Superset Mcp's Safety

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

The overall Trust Score of 62.4/100 (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 Superset Mcp?

Superset Mcp is commonly evaluated by:

How to read the signals: Superset Mcp's measured signals (유지보수 0/100, 문서화 0/100, community 1/100) 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 Superset 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 — 다음을 검토하세요: repository 보안 policy, open issues, and recent commits for signs of active 유지보수.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in Superset Mcp's dependency tree.
  3. 리뷰 permissions — Understand what access Superset Mcp requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Superset 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=superset-mcp
  6. 다음을 검토하세요: license — Confirm that Superset 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 보안 concerns openly. Low community engagement may indicate limited peer review of the codebase.

Common Safety Concerns with Superset Mcp

When evaluating whether Superset Mcp is safe, consider these category-specific risks:

Data handling

Understand how Superset Mcp processes, stores, and transmits your data. 다음을 검토하세요: tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency 보안

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

Update frequency

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

Third-party integrations

If Superset 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 규정 준수

Verify that Superset 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 Superset Mcp in violation of its license can expose your organization to legal liability.

Best Practices for Using Superset Mcp Safely

Whether you're an individual developer or an enterprise team, these practices will help you get the most from Superset Mcp while minimizing risk:

Conduct regular audits

Periodically review how Superset Mcp is used in your workflow. Check for unexpected behavior, permissions drift, and 규정 준수 with your 보안 policies.

Keep dependencies updated

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

Follow least privilege

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

Monitor for 보안 advisories

Subscribe to Superset Mcp's 보안 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 Superset Mcp is used within your organization, including data handling guidelines and acceptable use cases.

Situations That Warrant 독립적 Review of Superset Mcp

Nerq's signals are one input. In the following situations, evaluate Superset Mcp's measured signals against your own requirements before making a decision:

For each situation, compare Superset Mcp's measured trust score of 62.4/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Superset Mcp is suitable for any particular use.

How Superset Mcp Compares to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among infrastructure tools, the average Trust Score is 62/100. Superset Mcp's score of 62.4/100 is above the category average of 62/100.

This positions Superset Mcp favorably among infrastructure tools. While it outperforms the average, there is still room for improvement in certain trust 차원.

Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks 보통 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 Superset 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 유지보수 patterns change, Superset 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 보안 and quality. Conversely, a downward trend may signal reduced 유지보수, growing technical debt, or unresolved vulnerabilities. To track Superset Mcp's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=superset-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 — 보안, 유지보수, 문서화, 규정 준수, and community — has evolved independently, providing granular visibility into which aspects of Superset Mcp are strengthening or weakening over time.

Superset Mcp vs 대안

In the infrastructure category, Superset Mcp scores 62.4/100. There are higher-scoring alternatives available. For a detailed comparison, see:

주요 요점

자주 묻는 질문

Superset Mcp은(는) 안전한가요?
superset-mcp Nerq 신뢰 점수 62.4/100 (C). 가장 강력한 신호: 규정 준수 (100/100). 유지보수 (0/100), 인기도 (1/100), 문서화 (0/100) 기반 점수.
Superset Mcp의 신뢰 점수는?
superset-mcp: 62.4/100 (C). 유지보수 (0/100), 인기도 (1/100), 문서화 (0/100) 기반 점수. Compliance: 100/100. 새로운 데이터가 제공되면 점수가 업데이트됩니다. API: GET nerq.ai/v1/preflight?target=superset-mcp
Superset Mcp의 더 안전한 대안은?
인프라 카테고리에서, higher-rated alternatives include n8n-io/n8n (69/100), langflow-ai/langflow (77/100), langgenius/dify (70/100). superset-mcp scores 62.4/100.
Superset Mcp의 보안 점수는 얼마나 자주 업데이트되나요?
Nerq recomputes Superset Mcp's trust score as new data becomes available. Current: 62.4/100 (C). API: GET nerq.ai/v1/preflight?target=superset-mcp
규제 환경에서 Superset Mcp을 사용할 수 있나요?
Superset Mcp: 62.4/100 (C). Compliance: 52 of 52 관할권s. Evaluate against your own regulatory requirements.
API: /v1/preflight Trust Badge API Docs

참고 항목

Disclaimer: Nerq 신뢰 점수는 공개적으로 사용 가능한 신호를 기반으로 한 자동 평가입니다. 추천이나 보증이 아닙니다. 항상 직접 확인하세요.

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