Is Calm Mcp veilig?

Calm Mcp — Nerq Trust Score 56.2/100 (D-beoordeling). Score gebaseerd op 5 independent trust signals.

Calm Mcp is een software tool met een Nerq Vertrouwensscore van 56.2/100 (D), based on 5 onafhankelijke gegevensdimensies. Beveiliging: 0/100. Onderhoud: 1/100. Populariteit: 0/100. Gegevens afkomstig van meerdere openbare bronnen waaronder pakketregisters, GitHub, NVD, OSV.dev en OpenSSF Scorecard. Laatst bijgewerkt: n/a. Machineleesbare gegevens (JSON).

Is Calm Mcp veilig?

Vertrouwensscore details — Calm Mcp has a Nerq Trust Score of 56.2/100 (D). Measured across 5 independent trust signals.

Beveiligingsanalyse → Calm Mcp Privacyrapport →

Wat is de vertrouwensscore van Calm Mcp?

Calm Mcp heeft een Nerq Trust Score van 56.2/100 met het cijfer D. Deze score is gebaseerd op 5 onafhankelijk gemeten dimensies, waaronder beveiliging, onderhoud en community-adoptie.

Beveiliging
0
Naleving
100
Onderhoud
1
Documentatie
1
Populariteit
0

Wat zijn de belangrijkste beveiligingsbevindingen voor Calm Mcp?

Het sterkste signaal van Calm Mcp is naleving met 100/100. Er zijn geen bekende kwetsbaarheden gedetecteerd.

⚠Beveiligingsscore: 0/100 (zwak)
⚠Onderhoud: 1/100 — lage onderhoudsactiviteit
⚠Naleving: 100/100 — covers 52 of 52 jurisdicties
⚠Documentatie: 1/100 — beperkte documentatie
⚠Populariteit: 0/100 — gemeenschapsacceptatie

Wat is Calm Mcp en wie onderhoudt het?

OntwikkelaarMagPasulke
CategorieDevops
Bronhttps://github.com/MagPasulke/calm-mcp
Frameworksmcp
Protocolsmcp · rest

Naleving van regelgeving

EU AI Act Risk ClassMINIMAL
Compliance Score100/100
JurisdictionsAssessed across 52 jurisdicties

Populaire alternatieven in devops

ansible/ansible
74.9/100 · B
github
FlowiseAI/Flowise
67.5/100 · C
github
shareAI-lab/learn-claude-code
72.1/100 · B
github
continuedev/continue
75.0/100 · B
github
wshobson/agents
79.3/100 · B
github

What Is Calm Mcp?

Calm Mcp is a DevOps tool: Community Version of a SAP Cloud ALM MCP Server for SAP BTP Cloud Foundry.. Nerq Trust Score: 56/100 (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 Calm Mcp's Safety

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

The overall Trust Score of 56.2/100 (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 Calm Mcp?

Calm Mcp is commonly evaluated by:

How to read the signals: Calm Mcp'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 Calm Mcp'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 Calm Mcp's dependency tree.
  3. Beoordeling permissions — Understand what access Calm Mcp requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Calm Mcp 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=calm-mcp
  6. Bekijk de license — Confirm that Calm Mcp'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 Calm Mcp

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

Data handling

Understand how Calm Mcp processes, stores, and transmits your data. Bekijk de tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency beveiliging

Check Calm Mcp's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher beveiliging risk.

Update frequency

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

Third-party integrations

If Calm Mcp 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 naleving

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

Calm Mcp and the EU AI Act

Calm Mcp 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 Calm Mcp Safely

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

Conduct regular audits

Periodically review how Calm Mcp is used in your workflow. Check for unexpected behavior, permissions drift, and naleving with your beveiliging policies.

Keep dependencies updated

Ensure Calm Mcp and all its dependencies are running the latest stable versions to benefit from beveiliging patches.

Follow least privilege

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

Monitor for beveiliging advisories

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

Situations That Warrant Independent Review of Calm Mcp

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

For each situation, compare Calm Mcp's measured trust score of 56.2/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Calm Mcp is suitable for any particular use.

How Calm Mcp 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. Calm Mcp's score of 56.2/100 is near the category average of 63/100.

This places Calm Mcp in line with the typical DevOps 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 Calm Mcp 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, Calm Mcp'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 Calm Mcp's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=calm-mcp&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 Calm Mcp are strengthening or weakening over time.

Calm Mcp vs Alternatieven

In the devops category, Calm Mcp scores 56.2/100. There are higher-scoring alternatives available. For a detailed comparison, see:

Belangrijkste conclusies

Veelgestelde vragen

Is Calm Mcp veilig?
calm-mcp met een Nerq Vertrouwensscore van 56.2/100 (D). Sterkste signaal: naleving (100/100). Score gebaseerd op Beveiliging (0/100), Onderhoud (1/100), Populariteit (0/100), Documentatie (1/100).
Wat is de vertrouwensscore van Calm Mcp?
calm-mcp: 56.2/100 (D). Score gebaseerd op Beveiliging (0/100), Onderhoud (1/100), Populariteit (0/100), Documentatie (1/100). Compliance: 100/100. Scores worden bijgewerkt wanneer nieuwe data beschikbaar komen. API: GET nerq.ai/v1/preflight?target=calm-mcp
Wat zijn veiligere alternatieven voor Calm Mcp?
In de categorie Devops, higher-rated alternatives include ansible/ansible (75/100), FlowiseAI/Flowise (68/100), shareAI-lab/learn-claude-code (72/100). calm-mcp scores 56.2/100.
Hoe vaak wordt de beveiligingsscore van Calm Mcp bijgewerkt?
Nerq recomputes Calm Mcp's trust score as new data becomes available. Current: 56.2/100 (D). API: GET nerq.ai/v1/preflight?target=calm-mcp
Kan ik Calm Mcp gebruiken in een gereguleerde omgeving?
Calm Mcp: 56.2/100 (D). Compliance: 52 of 52 jurisdicties. EU AI Act compliant. Evaluate against your own regulatory requirements.
API: /v1/preflight Trust Badge API Docs

Zie ook

Disclaimer: Nerq-vertrouwensscores zijn geautomatiseerde beoordelingen op basis van openbaar beschikbare signalen. Ze vormen geen aanbeveling of garantie. Voer altijd uw eigen verificatie uit.

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