Onegenui Mcp安全吗?
Onegenui Mcp — Nerq Trust Score 56.9/100 (D级). 基于5 independent trust signals的评分。
Onegenui Mcp 是一个software tool Nerq 信任分数 56.9/100(D), 基于5个独立数据维度. 安全: 0/100. 维护: 1/100. 人气度: 0/100. 数据来源于多个公共来源,包括包注册表、GitHub、NVD、OSV.dev和OpenSSF Scorecard。最后更新:n/a。 机器可读数据(JSON).
Onegenui Mcp安全吗?
信任评分详情 — Onegenui Mcp has a Nerq Trust Score of 56.9/100 (D). Measured across 5 independent trust signals.
Onegenui Mcp的信任评分是多少?
Onegenui Mcp 的 Nerq 信任分数为 56.9/100,等级为 D。该分数基于 5 个独立测量的维度,包括安全性、维护和社区采用。
Onegenui Mcp的主要安全发现是什么?
Onegenui Mcp 最强的信号是 合规性,为 100/100。 未检测到已知漏洞。
Onegenui Mcp是什么,谁在维护它?
| 开发者 | g97iulio1609 |
| 类别 | 基础设施 |
| 来源 | https://github.com/g97iulio1609/onegenui-mcp |
| Frameworks | mcp |
合规性
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 100/100 |
| 管辖权s | Assessed across 52 司法管辖区s |
infrastructure中的热门替代品
What Is Onegenui Mcp?
Onegenui Mcp is a software tool in the infrastructure category: Model Context Protocol client and tool registry for OneGenUI. Nerq Trust Score: 57/100 (D).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including 安全性 vulnerabilities, 维护 activity, license 合规性, and 社区采用.
How Nerq Assesses Onegenui Mcp's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five 维度. Here is how Onegenui Mcp performs in each:
- 安全性 (0/100): Onegenui Mcp's 安全性 posture is poor. This score factors in known CVEs, dependency vulnerabilities, 安全性 policy presence, and code signing practices.
- 维护 (1/100): Onegenui Mcp is potentially abandoned. We track commit frequency, release cadence, issue response times, and PR merge rates.
- Documentation (0/100): Documentation quality is insufficient. This includes README completeness, API 文档, usage examples, and contribution guidelines.
- Compliance (100/100): Onegenui Mcp is broadly compliant. Assessed against regulations in 52 司法管辖区s including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. 基于 GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 56.9/100 (D) 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 Onegenui Mcp?
Onegenui Mcp is commonly evaluated by:
- Developers and teams working with infrastructure tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
How to read the signals: Onegenui Mcp's measured signals (安全性 0/100, 维护 1/100, 文档 0/100, community 0/100) 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 Onegenui Mcp's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — 查看 repository's 安全性 policy, open issues, and recent commits for signs of active 维护.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Onegenui Mcp's dependency tree. - 评论 permissions — Understand what access Onegenui Mcp requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Onegenui 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=onegenui-mcp - 查看 license — Confirm that Onegenui 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 安全性 concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Onegenui Mcp
When evaluating whether Onegenui Mcp is safe, consider these category-specific risks:
Understand how Onegenui Mcp processes, stores, and transmits your data. 查看 tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Onegenui Mcp's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher 安全性 risk.
Regularly check for updates to Onegenui Mcp. 安全性 patches and bug fixes are only effective if you're running the latest version.
If Onegenui 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 Onegenui 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 Onegenui Mcp in violation of its license can expose your organization to legal liability.
Onegenui Mcp and the EU AI Act
Onegenui 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 合规性 assessment covers 52 司法管辖区s worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal 合规性.
Best Practices for Using Onegenui Mcp Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Onegenui Mcp while minimizing risk:
Periodically review how Onegenui Mcp is used in your workflow. Check for unexpected behavior, permissions drift, and 合规性 with your 安全性 policies.
Ensure Onegenui Mcp and all its dependencies are running the latest stable versions to benefit from 安全性 patches.
Grant Onegenui Mcp only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Onegenui Mcp's 安全性 advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Onegenui Mcp is used within your organization, including data handling guidelines and acceptable use cases.
Situations That Warrant 独立 Review of Onegenui Mcp
Nerq's signals are one input. In the following situations, evaluate Onegenui Mcp's measured signals against your own requirements before making a decision:
- Environments handling sensitive or regulated data (healthcare, finance, government)
- Mission-critical systems where downtime has significant business impact
- Deployments with strict regulatory requirements that must be independently validated
For each situation, compare Onegenui Mcp's measured trust score of 56.9/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Onegenui Mcp is suitable for any particular use.
How Onegenui 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. Onegenui Mcp's score of 56.9/100 is near the category average of 62/100.
This places Onegenui Mcp in line with the typical infrastructure tool tool. It meets baseline expectations but does not distinguish itself from peers on trust metrics.
Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks 中等 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 Onegenui 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 维护 patterns change, Onegenui 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 安全性 and quality. Conversely, a downward trend may signal reduced 维护, growing technical debt, or unresolved vulnerabilities. To track Onegenui Mcp's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=onegenui-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 — 安全性, 维护, 文档, 合规性, and community — has evolved independently, providing granular visibility into which aspects of Onegenui Mcp are strengthening or weakening over time.
Onegenui Mcp vs 替代品
In the infrastructure category, Onegenui Mcp scores 56.9/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Onegenui Mcp vs n8n — Trust Score: 69.1/100
- Onegenui Mcp vs langflow — Trust Score: 77.0/100
- Onegenui Mcp vs dify — Trust Score: 69.7/100
主要结论
- Onegenui Mcp has a measured Nerq Trust Score of 56.9/100 (D) — a composite of independent signals, not a suitability judgment.
- Among infrastructure tools, Onegenui Mcp scores near the category average of 62/100 (a positional measurement relative to peers).
- The individual signals — 安全性, 维护, 文档, 合规性, community — are shown above. Weigh them against your own requirements.
- Query the current measured values via Nerq's Preflight API.
常见问题
Onegenui Mcp安全吗?
Onegenui Mcp的信任评分是多少?
Onegenui Mcp有哪些更安全的替代品?
Onegenui Mcp的安全评分多久更新一次?
我可以在受监管的环境中使用Onegenui Mcp吗?
另请参阅
Disclaimer: Nerq 信任评分是基于公开信号的自动评估。它们不构成建议或保证。请始终进行自己的验证。