Er Memberkit sikker?

Memberkit — Nerq Tillidsscore 43.4/100 (Karakter E). Baseret på analyse af 3 tillidsdimensioner vurderes det som har bemærkelsesværdige sikkerhedsproblemer. Sidst opdateret: 2026-04-01.

Vær forsigtig med Memberkit. Memberkit is a software tool with a Nerq Tillidsscore of 43.4/100 (E), based on 3 independent data dimensions. Det er under den anbefalede tærskel på 70. Maintenance: 0/100. Popularity: 0/100. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-04-01. Maskinlæsbare data (JSON).

Er Memberkit sikker?

NEJ — BRUG MED FORSIGTIGHED — Memberkit has a Nerq Tillidsscore of 43.4/100 (E). Har under gennemsnitlige tillidssignaler med betydelige huller i sikkerhed, vedligeholdelse eller dokumentation. Anbefales ikke til produktionsbrug uden grundig manuel gennemgang og yderligere sikkerhedsforanstaltninger.

Sikkerhedsanalyse → {name} privatlivsrapport →

Hvad er Memberkits tillidsscore?

Memberkit has a Nerq Tillidsscore of 43.4/100, earning a E grade. This score is based on 3 independently measured dimensions including security, maintenance, and community adoption.

Vedligeholdelse
0
Dokumentation
0
Popularitet
0

Hvad er de vigtigste sikkerhedsresultater for Memberkit?

Memberkit's strongest signal is vedligeholdelse at 0/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.

Maintenance: 0/100 — low maintenance activity
Documentation: 0/100 — limited documentation
Popularity: 0/100 — 1 stars on pulsemcp

Hvad er Memberkit og hvem vedligeholder det?

Udviklerhttps://github.com/paulofroes/mcp-memberkit
Kategoriapi|integration
Stjerner1
Kildehttps://github.com/paulofroes/mcp-memberkit

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What Is Memberkit?

Memberkit is a software tool in the api|integration category: Wraps the Memberkit API for managing users, courses, and other elements on a Brazilian membership platform.. It has 1 GitHub stars. Nerq Tillidsscore: 43/100 (E).

Nerq independently analyzes every software tool, app, and extension across multiple trust signals including security vulnerabilities, maintenance activity, license compliance, and community adoption.

How Nerq Assesses Memberkit's Safety

Nerq's Tillidsscore is calculated from 13+ independent signals aggregated into five dimensions. Here is how Memberkit performs in each:

The overall Tillidsscore of 43.4/100 (E) reflects the weighted combination of these signals. This is below the Nerq Verified threshold of 70. We recommend additional due diligence before production deployment.

Who Should Use Memberkit?

Memberkit is designed for:

Risk guidance: We recommend caution with Memberkit. The low trust score suggests potential risks in security, maintenance, or community support. Consider using a more established alternative for any production or sensitive workload.

How to Verify Memberkit's Safety Yourself

While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:

  1. Check the source code — Review the repository security policy, open issues, and recent commits for signs of active maintenance.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in Memberkit's dependency tree.
  3. Anmeldelse permissions — Understand what access Memberkit requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Memberkit 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=Memberkit
  6. Gennemgå license — Confirm that Memberkit'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 security concerns openly. Low community engagement may indicate limited peer review of the codebase.

Common Safety Concerns with Memberkit

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

Data handling

Understand how Memberkit processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency security

Check Memberkit's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.

Update frequency

Regularly check for updates to Memberkit. Security patches and bug fixes are only effective if you're running the latest version.

Third-party integrations

If Memberkit 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 compliance

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

Best Practices for Using Memberkit Safely

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

Conduct regular audits

Periodically review how Memberkit is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.

Keep dependencies updated

Ensure Memberkit and all its dependencies are running the latest stable versions to benefit from security patches.

Follow least privilege

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

Monitor for security advisories

Subscribe to Memberkit's security 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 Memberkit is used within your organization, including data handling guidelines and acceptable use cases.

When Should You Avoid Memberkit?

Even promising tools aren't right for every situation. Consider avoiding Memberkit in these scenarios:

tillidsscore for

For each scenario, evaluate whether Memberkit 43.4/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.

How Memberkit Compares to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among api|integration tools, the average Tillidsscore is 62/100. Memberkit's score of 43.4/100 is below the category average of 62/100.

This suggests that Memberkit trails behind many comparable api|integration tools. Organizations with strict security 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 moderate 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.

Tillidsscore History

Nerq continuously monitors Memberkit and recalculates its Tillidsscore 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, Memberkit'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 Memberkit's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=Memberkit&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 Memberkit are strengthening or weakening over time.

Memberkit vs Alternatives

In the api|integration category, Memberkit scorer 43.4/100. There are higher-scoring alternatives available. For a detailed comparison, see:

Vigtigste pointer

Ofte stillede spørgsmål

Er Memberkit sikker at bruge?
Vær forsigtig. Memberkit has a Nerq Tillidsscore of 43.4/100 (E). Stærkeste signal: vedligeholdelse (0/100). Score baseret på maintenance (0/100), popularity (0/100), documentation (0/100).
Hvad er tillidsscoren for Memberkit?
Memberkit: 43.4/100 (E). Score baseret på: maintenance (0/100), popularity (0/100), documentation (0/100). Scorer opdateres, efterhånden som nye data bliver tilgængelige. API: GET nerq.ai/v1/preflight?target=Memberkit
Hvad er sikrere alternativer til Memberkit?
In the api|integration category, højere rangerede alternativer inkluderer Any OpenAPI (47/100), X (45/100), Haoka API (43/100). Memberkit scorer 43.4/100.
How often is Memberkit's safety score updated?
Nerq continuously monitors Memberkit and updates its trust score as new data becomes available. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Current: 43.4/100 (E), last verified 2026-04-01. API: GET nerq.ai/v1/preflight?target=Memberkit
Kan jeg bruge Memberkit i et reguleret miljø?
Memberkit has not reached the Nerq Verified threshold of 70. Additional due diligence is recommended for regulated environments.
API: /v1/preflight Trust Badge API Docs

Disclaimer: Nerqs tillidsscorer er automatiserede vurderinger baseret på offentligt tilgængelige signaler. De udgør ikke anbefalinger eller garantier. Foretag altid din egen verificering.

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