هل Github Mcp Worker آمن؟
Github Mcp Worker — Nerq درجة الثقة 67.5/100 (الدرجة C). التقييم مبني على 5 independent trust signals.
Github Mcp Worker هو software tool بدرجة ثقة Nerq 67.5/100 (C), بناءً على 5 أبعاد بيانات مستقلة. الأمان: 0/100. الصيانة: 1/100. الشعبية: 0/100. البيانات مصدرها قراءة آلية.
هل Github Mcp Worker آمن؟
تفاصيل درجة الثقة — Github Mcp Worker لديه درجة ثقة Nerq تبلغ 67.5/100 (C). Measured across 5 independent trust signals.
ما هي درجة ثقة Github Mcp Worker؟
حصل Github Mcp Worker على درجة ثقة Nerq تبلغ 67.5/100 بدرجة C. يعتمد هذا التقييم على 5 أبعاد مُقاسة بشكل مستقل.
ما هي النتائج الأمنية الرئيسية لـ Github Mcp Worker؟
أقوى إشارة لـ Github Mcp Worker هي الامتثال بدرجة 100/100. لم يتم اكتشاف أي ثغرات أمنية معروفة.
ما هو Github Mcp Worker ومن يديره؟
| المؤلف | MahammadNuriyev62 |
| الفئة | Coding |
| النجوم | 1 |
| المصدر | https://github.com/MahammadNuriyev62/github-mcp-worker |
| Frameworks | langchain · anthropic · huggingface |
| Protocols | mcp |
الامتثال التنظيمي
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 100/100 |
| الاختصاص القضائيs | Assessed across 52 ولاية قضائيةs |
بدائل شائعة في coding
What Is Github Mcp Worker?
Github Mcp Worker is a software tool in the coding category: A read-only GitHub MCP server for Claude to browse public repos without access errors.. It has 1 GitHub stars. Nerq درجة الثقة: 68/100 (C).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including security vulnerabilities, maintenance activity, license compliance, and اعتماد المجتمع.
How Nerq Assesses Github Mcp Worker's Safety
Nerq's درجة الثقة is calculated from 13+ independent signals aggregated into five أبعاد. Here is how Github Mcp Worker performs in each:
- الأمان (0/100): Github Mcp Worker's security posture is poor. This score factors in known CVEs, dependency vulnerabilities, security policy presence, and code signing practices.
- الصيانة (1/100): Github Mcp Worker is potentially abandoned. We track commit frequency, release cadence, issue response times, and PR merge rates.
- Documentation (1/100): Documentation quality is insufficient. This includes README completeness, API documentation, usage examples, and contribution guidelines.
- Compliance (100/100): Github Mcp Worker is broadly compliant. Assessed against regulations in 52 ولاية قضائيةs including the EU AI Act, CCPA, and GDPR.
- المجتمع (0/100): المجتمع adoption is limited. بناءً على GitHub stars, forks, download counts, and ecosystem integrations.
The overall درجة الثقة of 67.5/100 (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 Github Mcp Worker?
Github Mcp Worker is commonly evaluated by:
- المطورs and teams working with coding tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
كيفية read the signals: Github Mcp Worker's measured signals (security 0/100, maintenance 1/100, documentation 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.
كيفية Verify Github Mcp Worker's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Review the repository's security policy, open issues, and recent commits for signs of active maintenance.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for ثغرات أمنية معروفة in Github Mcp Worker's dependency tree. - مراجعة permissions — Understand what access Github Mcp Worker requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Github Mcp Worker 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=github-mcp-worker - مراجعة the license — Confirm that Github Mcp Worker'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 عملاء 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 security concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Github Mcp Worker
When evaluating whether Github Mcp Worker is safe, consider these category-specific risks:
Understand how Github Mcp Worker processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Github Mcp Worker's dependency tree for ثغرات أمنية معروفة. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Github Mcp Worker. الأمان patches and bug fixes are only effective if you're running the latest version.
If Github Mcp Worker 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 Github Mcp Worker's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Github Mcp Worker in violation of its license can expose your organization to legal liability.
Github Mcp Worker and the EU AI Act
Github Mcp Worker 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 compliance assessment covers 52 ولاية قضائيةs worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal compliance.
Best Practices for Using Github Mcp Worker Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Github Mcp Worker while minimizing risk:
Periodically review how Github Mcp Worker is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Github Mcp Worker and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Github Mcp Worker only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Github Mcp Worker's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Github Mcp Worker is used within your organization, including data handling guidelines and acceptable use cases.
Situations That Warrant مستقل Review of Github Mcp Worker
Nerq's signals are one input. In the following situations, evaluate Github Mcp Worker'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 Github Mcp Worker's measured trust score of 67.5/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Github Mcp Worker is suitable for any particular use.
How Github Mcp Worker Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among coding tools, the average درجة الثقة is 62/100. Github Mcp Worker's score of 67.5/100 is above the category average of 62/100.
This positions Github Mcp Worker favorably among coding tools. While it outperforms the average, there is still room for improvement in certain trust أبعاد.
Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks متوسط 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.
درجة الثقة History
Nerq continuously monitors Github Mcp Worker and recalculates its درجة الثقة 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 maintenance patterns change, Github Mcp Worker'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 security and quality. Conversely, a downward trend may signal reduced maintenance, growing technical debt, or unresolved vulnerabilities. To track Github Mcp Worker's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=github-mcp-worker&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 — security, maintenance, documentation, compliance, and community — has evolved independently, providing granular visibility into which aspects of Github Mcp Worker are strengthening or weakening over time.
Github Mcp Worker vs البدائل
In the coding category, Github Mcp Worker scores 67.5/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Github Mcp Worker vs AutoGPT — درجة الثقة: 65.3/100
- Github Mcp Worker vs ollama — درجة الثقة: 64.4/100
- Github Mcp Worker vs langchain — درجة الثقة: 77.0/100
النقاط الرئيسية
- Github Mcp Worker has a measured Nerq درجة الثقة of 67.5/100 (C) — a composite of independent signals, not a suitability judgment.
- Among coding tools, Github Mcp Worker scores above the category average of 62/100 (a positional measurement relative to peers).
- The individual signals — security, maintenance, documentation, compliance, community — are shown above. Weigh them against your own requirements.
- Query the current measured values via Nerq's Preflight API.
الأسئلة الشائعة
هل Github Mcp Worker آمن؟
ما هي درجة ثقة Github Mcp Worker؟
ما هي البدائل الأكثر أمانًا لـ Github Mcp Worker؟
كم مرة يتم تحديث درجة أمان Github Mcp Worker؟
هل يمكنني استخدام Github Mcp Worker في بيئة منظمة؟
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