Mcpli ปลอดภัยหรือไม่?
Mcpli — Nerq Trust Score 50.9/100 (เกรด D). คะแนนอิงจาก 5 independent trust signals.
Mcpli เป็น software tool ด้วยคะแนนความน่าเชื่อถือ Nerq 50.9/100 (D), based on 5 มิติข้อมูลอิสระ. ความปลอดภัย: 0/100. การบำรุงรักษา: 1/100. ความนิยม: 0/100. ข้อมูลจาก แหล��งข้อมูลสาธารณะหลายแห่งรวมถึง registry แพ็คเกจ, GitHub, NVD, OSV.dev และ OpenSSF Scorecard. อัปเดตล่าสุด: n/a. ข้อมูลที่เครื่องอ่านได้ (JSON).
Mcpli ปลอดภัยหรือไม่?
รายละเอียดคะแนนความน่าเชื่อถือ — Mcpli has a Nerq Trust Score of 50.9/100 (D). Measured across 5 independent trust signals.
คะแนนความน่าเชื่อถือของ Mcpli คือเท่าไร?
Mcpli มีคะแนนความน่าเชื่อถือ Nerq 50.9/100 ได้เกรด D คะแนนนี้อิงจาก 5 มิติที่วัดอย่างอิสระ
ผลการตรวจสอบความปลอดภัยหลักของ Mcpli คืออะไร?
สัญญาณที่แข็งแกร่งที่สุดของ Mcpli คือ การปฏิบัติตามกฎระเบียบ ที่ 100/100 ไม่พบช่องโหว่ที่ทราบ
Mcpli คืออะไรและใครเป็นผู้ดูแล?
| ผู้พัฒนา | juanibiapina |
| หมวดหมู่ | Devops |
| ดาว | 3 |
| แหล่งที่มา | https://github.com/juanibiapina/mcpli |
| Frameworks | mcp |
| Protocols | mcp · rest |
การปฏิบัติตามกฎระเบียบ
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
ทางเลือกยอดนิยมใน devops
What Is Mcpli?
Mcpli is a DevOps tool: A CLI for interacting with MCP servers.. It has 3 GitHub stars. Nerq Trust Score: 51/100 (D).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including ความปลอดภัย vulnerabilities, การบำรุงรักษา activity, license การปฏิบัติตามกฎระเบียบ, and การยอมรับจากชุมชน.
How Nerq Assesses Mcpli's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five มิติ. Here is how Mcpli performs in each:
- ความปลอดภัย (0/100): Mcpli's ความปลอดภัย posture is poor. This score factors in known CVEs, dependency vulnerabilities, ความปลอดภัย policy presence, and code signing practices.
- การบำรุงรักษา (1/100): Mcpli 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 เอกสาร, usage examples, and contribution guidelines.
- Compliance (100/100): Mcpli is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. อิงจาก GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 50.9/100 (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 Mcpli?
Mcpli is commonly evaluated by:
- Developers and teams working with devops tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
How to read the signals: Mcpli's measured signals (ความปลอดภัย 0/100, การบำรุงรักษา 1/100, เอกสาร 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 Mcpli's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — ตรวจสอบ repository's ความปลอดภัย policy, open issues, and recent commits for signs of active การบำรุงรักษา.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Mcpli's dependency tree. - รีวิว permissions — Understand what access Mcpli requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Mcpli 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=mcpli - ตรวจสอบ license — Confirm that Mcpli'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 ความปลอดภัย concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Mcpli
When evaluating whether Mcpli is safe, consider these category-specific risks:
Understand how Mcpli processes, stores, and transmits your data. ตรวจสอบ tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Mcpli's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher ความปลอดภัย risk.
Regularly check for updates to Mcpli. ความปลอดภัย patches and bug fixes are only effective if you're running the latest version.
If Mcpli 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 Mcpli's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Mcpli in violation of its license can expose your organization to legal liability.
Mcpli and the EU AI Act
Mcpli 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 การปฏิบัติตามกฎระเบียบ assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal การปฏิบัติตามกฎระเบียบ.
Best Practices for Using Mcpli Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Mcpli while minimizing risk:
Periodically review how Mcpli is used in your workflow. Check for unexpected behavior, permissions drift, and การปฏิบัติตามกฎระเบียบ with your ความปลอดภัย policies.
Ensure Mcpli and all its dependencies are running the latest stable versions to benefit from ความปลอดภัย patches.
Grant Mcpli only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Mcpli's ความปลอดภัย advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Mcpli is used within your organization, including data handling guidelines and acceptable use cases.
Situations That Warrant Independent Review of Mcpli
Nerq's signals are one input. In the following situations, evaluate Mcpli'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 Mcpli's measured trust score of 50.9/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Mcpli is suitable for any particular use.
How Mcpli Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among DevOps tools, the average Trust Score is 63/100. Mcpli's score of 50.9/100 is below the category average of 63/100.
This suggests that Mcpli trails behind many comparable DevOps tools. Organizations with strict ความปลอดภัย 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 ปานกลาง 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 Mcpli 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 การบำรุงรักษา patterns change, Mcpli'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 ความปลอดภัย and quality. Conversely, a downward trend may signal reduced การบำรุงรักษา, growing technical debt, or unresolved vulnerabilities. To track Mcpli's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=mcpli&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 — ความปลอดภัย, การบำรุงรักษา, เอกสาร, การปฏิบัติตามกฎระเบียบ, and community — has evolved independently, providing granular visibility into which aspects of Mcpli are strengthening or weakening over time.
Mcpli vs ทางเลือก
In the devops category, Mcpli scores 50.9/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Mcpli vs ansible — Trust Score: 74.9/100
- Mcpli vs Flowise — Trust Score: 67.5/100
- Mcpli vs learn-claude-code — Trust Score: 72.1/100
ประเด็นสำคัญ
- Mcpli has a measured Nerq Trust Score of 50.9/100 (D) — a composite of independent signals, not a suitability judgment.
- Among DevOps tools, Mcpli scores below the category average of 63/100 (a positional measurement relative to peers).
- The individual signals — ความปลอดภัย, การบำรุงรักษา, เอกสาร, การปฏิบัติตามกฎระเบียบ, community — are shown above. Weigh them against your own requirements.
- Query the current measured values via Nerq's Preflight API.
คำถามที่พบบ่อย
Mcpli ปลอดภัยหรือไม่?
คะแนนความน่าเชื่อถือของ Mcpli คือเท่าไร?
ทางเลือกที่ปลอดภัยกว่า Mcpli คืออะไร?
คะแนนความปลอดภัยของ Mcpli อัปเดตบ่อยแค่ไหน?
ฉันสามารถใช้ Mcpli ในสภาพแวดล้อมที่มีกฎระเบียบได้หรือไม่?
ดูเพิ่มเติม
Disclaimer: คะแนนความน่าเชื่อถือของ Nerq เป็นการประเมินอัตโนมัติจากสัญญาณที่เปิดเผยต่อสาธารณะ ไม่ใช่คำแนะนำหรือการรับประกัน กรุณาตรวจสอบด้วยตนเองเสมอ