Codeguard Mcp Server安全吗?

Codeguard Mcp Server — Nerq Trust Score 55.8/100 (D级). 基于5 independent trust signals的评分。

Codeguard Mcp Server 是一个software tool Nerq 信任分数 55.8/100(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).

Codeguard Mcp Server安全吗?

信任评分详情 — Codeguard Mcp Server has a Nerq Trust Score of 55.8/100 (D). Measured across 5 independent trust signals.

安全分析 → Codeguard Mcp Server隐私报告 →

Codeguard Mcp Server的信任评分是多少?

Codeguard Mcp Server 的 Nerq 信任分数为 55.8/100,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。

安全性
0
合规性
97
维护
1
文档
1
人气
0

Codeguard Mcp Server的主要安全发现是什么?

Codeguard Mcp Server 最强的信号是 合规性,为 97/100。 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: 97/100 — covers 50 of 52 司法管辖区s
⚠文档: 1/100 — 有限文档
⚠人气: 0/100 — 1 在以下平台的星标 github

Codeguard Mcp Server是什么,谁在维护它?

开发者isagasi
类别安全性
星标1
来源https://github.com/isagasi/codeguard-mcp-server
Frameworksanthropic · mcp
Protocolsmcp · rest

合规性

EU AI Act Risk ClassMINIMAL
Compliance Score97/100
管辖权sAssessed across 52 司法管辖区s

安全性中的热门替代品

bee-san/Ciphey
63.4/100 · C
github
usestrix/strix
64.4/100 · C
github
SWE-agent/SWE-agent
76.9/100 · B
github
promptfoo/promptfoo
82.0/100 · A
github
TecharoHQ/anubis
62.9/100 · C
github

What Is Codeguard Mcp Server?

Codeguard Mcp Server is a 安全性 tool: 安全性 rules for AI code generation via Model Context Protocol.. It has 1 GitHub stars. Nerq Trust Score: 56/100 (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 Codeguard Mcp Server's Safety

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

The overall Trust Score of 55.8/100 (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 Codeguard Mcp Server?

Codeguard Mcp Server is commonly evaluated by:

How to read the signals: Codeguard Mcp Server's measured signals (安全性 0/100, 维护 1/100, 文档 1/100, 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 Codeguard Mcp Server'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 Codeguard Mcp Server's dependency tree.
  3. 评论 permissions — Understand what access Codeguard Mcp Server requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Codeguard Mcp Server 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=codeguard-mcp-server
  6. 查看 license — Confirm that Codeguard Mcp Server'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 Codeguard Mcp Server

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

Data handling

Understand how Codeguard Mcp Server 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 Codeguard Mcp Server'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 Codeguard Mcp Server. 安全性 patches and bug fixes are only effective if you're running the latest version.

Third-party integrations

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

Codeguard Mcp Server and the EU AI Act

Codeguard Mcp Server 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 Codeguard Mcp Server Safely

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

Conduct regular audits

Periodically review how Codeguard Mcp Server 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 Codeguard Mcp Server and all its dependencies are running the latest stable versions to benefit from 安全性 patches.

Follow least privilege

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

Monitor for 安全性 advisories

Subscribe to Codeguard Mcp Server'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 Codeguard Mcp Server is used within your organization, including data handling guidelines and acceptable use cases.

Situations That Warrant 独立 Review of Codeguard Mcp Server

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

For each situation, compare Codeguard Mcp Server's measured trust score of 55.8/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Codeguard Mcp Server is suitable for any particular use.

How Codeguard Mcp Server Compares to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among 安全性 tools, the average Trust Score is 67/100. Codeguard Mcp Server's score of 55.8/100 is below the category average of 67/100.

This suggests that Codeguard Mcp Server trails behind many comparable 安全性 tools. Organizations with strict 安全性 requirements should evaluate whether higher-scoring alternatives better meet their needs.

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 Codeguard Mcp Server 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, Codeguard Mcp Server'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 Codeguard Mcp Server's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=codeguard-mcp-server&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 Codeguard Mcp Server are strengthening or weakening over time.

Codeguard Mcp Server vs 替代品

In the 安全性 category, Codeguard Mcp Server scores 55.8/100. There are higher-scoring alternatives available. For a detailed comparison, see:

主要结论

常见问题

Codeguard Mcp Server安全吗?
codeguard-mcp-server Nerq 信任分数 55.8/100(D). 最强信号: 合规性 (97/100). 基于安全 (0/100), 维护 (1/100), 人气度 (0/100), 文档 (1/100)的评分。
Codeguard Mcp Server的信任评分是多少?
codeguard-mcp-server: 55.8/100 (D). 基于安全 (0/100), 维护 (1/100), 人气度 (0/100), 文档 (1/100)的评分。 Compliance: 97/100. 新数据可用时分数会更新. API: GET nerq.ai/v1/preflight?target=codeguard-mcp-server
Codeguard Mcp Server有哪些更安全的替代品?
在安全性类别中, higher-rated alternatives include bee-san/Ciphey (63/100), usestrix/strix (64/100), SWE-agent/SWE-agent (77/100). codeguard-mcp-server scores 55.8/100.
Codeguard Mcp Server的安全评分多久更新一次?
Nerq recomputes Codeguard Mcp Server's trust score as new data becomes available. Current: 55.8/100 (D). API: GET nerq.ai/v1/preflight?target=codeguard-mcp-server
我可以在受监管的环境中使用Codeguard Mcp Server吗?
Codeguard Mcp Server: 55.8/100 (D). Compliance: 50 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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