Is Zutrix Mcp Server veilig?

Is Zutrix Mcp Server veilig?

Vertrouwensscore details — Zutrix Mcp Server has a Nerq Trust Score of 57.2/100 (D). Measured across 5 independent trust signals.

What Is Zutrix Mcp Server?

Zutrix Mcp Server is a software tool in the marketing category: Connect AI tools to Zutrix SEO data via Model Context Protocol.. It has 1 GitHub stars. Nerq Trust Score: 57/100 (D).

Nerq independently analyzes every software tool, app, and extension across multiple trust signals including beveiliging vulnerabilities, onderhoud activity, license naleving, and gemeenschapsacceptatie.

How Nerq Assesses Zutrix Mcp Server's Safety

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

• Beveiliging (0/100): Zutrix Mcp Server's beveiliging posture is poor. This score factors in known CVEs, dependency vulnerabilities, beveiliging policy presence, and code signing practices.
• Onderhoud (1/100): Zutrix Mcp Server 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 documentatie, usage examples, and contribution guidelines.
• Compliance (100/100): Zutrix Mcp Server is broadly compliant. Assessed against regulations in 52 jurisdicties including the EU AI Act, CCPA, and GDPR.
• Community (0/100): Community adoption is limited. Gebaseerd op GitHub stars, forks, download counts, and ecosystem integrations.

The overall Trust Score of 57.2/100 (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 Zutrix Mcp Server?

Zutrix Mcp Server is commonly evaluated by:

• Developers and teams working with marketing tools
• Organizations evaluating AI tools for their stack
• Researchers exploring AI capabilities in this domain

How to read the signals: Zutrix Mcp Server's measured signals (beveiliging 0/100, onderhoud 1/100, documentatie 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 Zutrix 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 — Bekijk de repository's beveiliging policy, open issues, and recent commits for signs of active onderhoud.
2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in Zutrix Mcp Server's dependency tree.
3. Beoordeling permissions — Understand what access Zutrix Mcp Server requires. Software tools should follow the principle of least privilege.
4. Test in isolation — Run Zutrix 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=zutrix-mcp-server
6. Bekijk de license — Confirm that Zutrix 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 beveiliging concerns openly. Low community engagement may indicate limited peer review of the codebase.

Common Safety Concerns with Zutrix Mcp Server

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

Zutrix Mcp Server and the EU AI Act

Zutrix 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 naleving assessment covers 52 jurisdicties worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal naleving.

Best Practices for Using Zutrix Mcp Server Safely

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

Situations That Warrant Independent Review of Zutrix Mcp Server

Nerq's signals are one input. In the following situations, evaluate Zutrix Mcp Server'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 Zutrix Mcp Server's measured trust score of 57.2/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Zutrix Mcp Server is suitable for any particular use.

How Zutrix Mcp Server Compares to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among marketing tools, the average Trust Score is 62/100. Zutrix Mcp Server's score of 57.2/100 is near the category average of 62/100.

This places Zutrix Mcp Server in line with the typical marketing tool tool. It meets baseline expectations but does not distinguish itself from peers on trust metrics.

Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks matig 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 Zutrix 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 onderhoud patterns change, Zutrix 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 beveiliging and quality. Conversely, a downward trend may signal reduced onderhoud, growing technical debt, or unresolved vulnerabilities. To track Zutrix Mcp Server's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=zutrix-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 — beveiliging, onderhoud, documentatie, naleving, and community — has evolved independently, providing granular visibility into which aspects of Zutrix Mcp Server are strengthening or weakening over time.

Zutrix Mcp Server vs Alternatieven

In the marketing category, Zutrix Mcp Server scores 57.2/100. There are higher-scoring alternatives available. For a detailed comparison, see:

• Zutrix Mcp Server vs TrendRadar — Trust Score: 66.6/100
• Zutrix Mcp Server vs Resume-Matcher — Trust Score: 61.9/100
• Zutrix Mcp Server vs BlackFriday-GPTs-Prompts — Trust Score: 60.2/100

Belangrijkste conclusies

• Zutrix Mcp Server has a measured Nerq Trust Score of 57.2/100 (D) — a composite of independent signals, not a suitability judgment.
• Among marketing tools, Zutrix Mcp Server scores near the category average of 62/100 (a positional measurement relative to peers).
• The individual signals — beveiliging, onderhoud, documentatie, naleving, community — are shown above. Weigh them against your own requirements.
• Query the current measured values via Nerq's Preflight API.