Mcp Text Utils安全吗?

Mcp Text Utils — Nerq Trust Score 65.0/100 (C级). 基于5 independent trust signals的评分。

Mcp Text Utils 是一个software tool Nerq 信任分数 65.0/100(C), 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).

Mcp Text Utils安全吗?

信任评分详情 — Mcp Text Utils has a Nerq Trust Score of 65.0/100 (C). Measured across 5 independent trust signals.

安全分析 → Mcp Text Utils隐私报告 →

Mcp Text Utils的信任评分是多少?

Mcp Text Utils 的 Nerq 信任分数为 65.0/100,等级为 C。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。

安全性
0
合规性
100
维护
1
文档
0
人气
0

Mcp Text Utils的主要安全发现是什么?

Mcp Text Utils 最强的信号是 合规性,为 100/100。 未检测到已知漏洞。

⚠安全评分: 0/100 (弱)
⚠维护: 1/100 — 低维护活动
⚠合规性: 100/100 — covers 52 of 52 司法管辖区s
⚠文档: 0/100 — 有限文档
⚠人气: 0/100 — 社区采用

Mcp Text Utils是什么,谁在维护它?

开发者NimbleBrainInc
类别Coding
来源https://github.com/NimbleBrainInc/mcp-text-utils
Frameworksanthropic
Protocolsmcp

合规性

EU AI Act Risk ClassMINIMAL
Compliance Score100/100
管辖权sAssessed across 52 司法管辖区s

coding中的热门替代品

Significant-Gravitas/AutoGPT
65.3/100 · C
github
ollama/ollama
64.4/100 · C
github
langchain-ai/langchain
77.0/100 · B
github
x1xhlol/system-prompts-and-models-of-ai-tools
64.4/100 · C
github
anomalyco/opencode
78.5/100 · B
github

Mcp Text Utils在其他平台

同一开发者/公司在其他注册表中:

@nimbletools/mcp-http-bridge
48/100 · npm

What Is Mcp Text Utils?

Mcp Text Utils is a software tool in the coding category: MCP TextUtils is an MCP server for text manipulation and analysis.. Nerq Trust Score: 65/100 (C).

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 Mcp Text Utils's Safety

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

The overall Trust Score of 65.0/100 (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 Mcp Text Utils?

Mcp Text Utils is commonly evaluated by:

How to read the signals: Mcp Text Utils'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 Mcp Text Utils's Safety Yourself

While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:

  1. Check the source code — 查看 repository's 安全性 policy, open issues, and recent commits for signs of active 维护.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in Mcp Text Utils's dependency tree.
  3. 评论 permissions — Understand what access Mcp Text Utils requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Mcp Text Utils 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=mcp-text-utils
  6. 查看 license — Confirm that Mcp Text Utils'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 安全性 concerns openly. Low community engagement may indicate limited peer review of the codebase.

Common Safety Concerns with Mcp Text Utils

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

Data handling

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

Dependency 安全性

Check Mcp Text Utils's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher 安全性 risk.

Update frequency

Regularly check for updates to Mcp Text Utils. 安全性 patches and bug fixes are only effective if you're running the latest version.

Third-party integrations

If Mcp Text Utils 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 合规性

Verify that Mcp Text Utils's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Mcp Text Utils in violation of its license can expose your organization to legal liability.

Mcp Text Utils and the EU AI Act

Mcp Text Utils 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 Mcp Text Utils Safely

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

Conduct regular audits

Periodically review how Mcp Text Utils is used in your workflow. Check for unexpected behavior, permissions drift, and 合规性 with your 安全性 policies.

Keep dependencies updated

Ensure Mcp Text Utils and all its dependencies are running the latest stable versions to benefit from 安全性 patches.

Follow least privilege

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

Monitor for 安全性 advisories

Subscribe to Mcp Text Utils's 安全性 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 Mcp Text Utils is used within your organization, including data handling guidelines and acceptable use cases.

Situations That Warrant 独立 Review of Mcp Text Utils

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

For each situation, compare Mcp Text Utils's measured trust score of 65.0/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Mcp Text Utils is suitable for any particular use.

How Mcp Text Utils 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. Mcp Text Utils's score of 65.0/100 is above the category average of 62/100.

This positions Mcp Text Utils favorably among coding tools. While it outperforms the average, there is still room for improvement in certain trust 维度.

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 Mcp Text Utils 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, Mcp Text Utils'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 Mcp Text Utils's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=mcp-text-utils&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 Mcp Text Utils are strengthening or weakening over time.

Mcp Text Utils vs 替代品

In the coding category, Mcp Text Utils scores 65.0/100. There are higher-scoring alternatives available. For a detailed comparison, see:

主要结论

常见问题

Mcp Text Utils安全吗?
mcp-text-utils Nerq 信任分数 65.0/100(C). 最强信号: 合规性 (100/100). 基于安全 (0/100), 维护 (1/100), 人气度 (0/100), 文档 (0/100)的评分。
Mcp Text Utils的信任评分是多少?
mcp-text-utils: 65.0/100 (C). 基于安全 (0/100), 维护 (1/100), 人气度 (0/100), 文档 (0/100)的评分。 Compliance: 100/100. 新数据可用时分数会更新. API: GET nerq.ai/v1/preflight?target=mcp-text-utils
Mcp Text Utils有哪些更安全的替代品?
在Coding类别中, higher-rated alternatives include Significant-Gravitas/AutoGPT (65/100), ollama/ollama (64/100), langchain-ai/langchain (77/100). mcp-text-utils scores 65.0/100.
Mcp Text Utils的安全评分多久更新一次?
Nerq recomputes Mcp Text Utils's trust score as new data becomes available. Current: 65.0/100 (C). API: GET nerq.ai/v1/preflight?target=mcp-text-utils
我可以在受监管的环境中使用Mcp Text Utils吗?
Mcp Text Utils: 65.0/100 (C). Compliance: 52 of 52 司法管辖区s. EU AI Act compliant. Evaluate against your own regulatory requirements.
API: /v1/preflight Trust Badge API Docs

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。

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