Mcp Playwright安全吗?

Mcp Playwright — Nerq Trust Score 71.1/100 (B级). 基于5 independent trust signals的评分。

Mcp Playwright 是一个software tool Nerq 信任分数 71.1/100(B), 基于5个独立数据维度. 安全: 0/100. 维护: 0/100. 人气度: 1/100. 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 Playwright安全吗?

信任评分详情 — Mcp Playwright has a Nerq Trust Score of 71.1/100 (B). Measured across 5 independent trust signals.

安全分析 → Mcp Playwright隐私报告 →

Mcp Playwright的信任评分是多少?

Mcp Playwright 的 Nerq 信任分数为 71.1/100,等级为 B。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
0
文档
0
人气
1

Mcp Playwright的主要安全发现是什么?

Mcp Playwright 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: 0/100 — 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: 1/100 — 5,211 在以下平台的星标 mcp

Mcp Playwright是什么,谁在维护它?

开发者executeautomation
类别基础设施
星标5,211
来源https://github.com/executeautomation/mcp-playwright
Protocolsmcp

合规性

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

infrastructure中的热门替代品

langflow-ai/langflow
64.6/100 · C+
github
langgenius/dify
64.0/100 · C+
github
open-webui/open-webui
59.8/100 · C
github
google-gemini/gemini-cli
71.8/100 · B
github
supabase/supabase
57.8/100 · C
github

Mcp Playwright在其他平台

同一开发者/公司在其他注册表中:

@executeautomation/database-server
48/100 · npm

What Is Mcp Playwright?

Mcp Playwright is a software tool in the infrastructure category: Automates Browsers and APIs for Claude Desktop, Cline, Cursor IDE and more.. It has 5,211 GitHub stars. Nerq Trust Score: 71/100 (B).

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 Playwright's Safety

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

The overall Trust Score of 71.1/100 (B) 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 Playwright?

Mcp Playwright is commonly evaluated by:

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

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

Data handling

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

Third-party integrations

If Mcp Playwright 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 Playwright'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 Playwright in violation of its license can expose your organization to legal liability.

Mcp Playwright and the EU AI Act

Mcp Playwright 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 Playwright Safely

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

Conduct regular audits

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

Follow least privilege

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

Monitor for 安全性 advisories

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

Situations That Warrant 独立 Review of Mcp Playwright

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

For each situation, compare Mcp Playwright's measured trust score of 71.1/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Mcp Playwright is suitable for any particular use.

How Mcp Playwright 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. Mcp Playwright's score of 71.1/100 is above the category average of 62/100.

This positions Mcp Playwright favorably among infrastructure 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 Playwright 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 Playwright'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 Playwright's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=mcp-playwright&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 Playwright are strengthening or weakening over time.

Mcp Playwright vs 替代品

In the infrastructure category, Mcp Playwright scores 71.1/100. There are higher-scoring alternatives available. For a detailed comparison, see:

主要结论

常见问题

Mcp Playwright安全吗?
mcp-playwright Nerq 信任分数 71.1/100(B). 最强信号: 合规性 (100/100). 基于安全 (0/100), 维护 (0/100), 人气度 (1/100), 文档 (0/100)的评分。
Mcp Playwright的信任评分是多少?
mcp-playwright: 71.1/100 (B). 基于安全 (0/100), 维护 (0/100), 人气度 (1/100), 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-playwright
Mcp Playwright有哪些更安全的替代品?
在基础设施类别中, higher-rated alternatives include langflow-ai/langflow (65/100), langgenius/dify (64/100), open-webui/open-webui (60/100). mcp-playwright scores 71.1/100.
Mcp Playwright的安全评分多久更新一次?
Nerq recomputes Mcp Playwright's trust score as new data becomes available. Current: 71.1/100 (B). API: GET nerq.ai/v1/preflight?target=mcp-playwright
我可以在受监管的环境中使用Mcp Playwright吗?
Mcp Playwright: 71.1/100 (B). 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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