Is Mcpv Safe?

Mcpv — Nerq Trust Score 55.0/100 (D grade). Score based on 5 independent trust signals.

Mcpv is a software tool with a Nerq Trust Score of 55.0/100 (D), based on 5 independent data dimensions. Security: 0/100. Maintenance: 1/100. Popularity: 0/100. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: n/a. Machine-readable data (JSON).

Is Mcpv safe?

Trust Score Breakdown — Mcpv has a Nerq Trust Score of 55.0/100 (D). Measured across 5 independent trust signals.

Security Analysis → Mcpv Privacy Report →

What is Mcpv's trust score?

Mcpv has a Nerq Trust Score of 55.0/100, earning a D grade. This score is based on 5 independently measured dimensions including security, maintenance, and community adoption.

Security
0
Compliance
100
Maintenance
1
Documentation
1
Popularity
0

What are the key security findings for Mcpv?

Mcpv's strongest signal is compliance at 100/100. No known vulnerabilities have been detected.

Security score: 0/100 (weak)
Maintenance: 1/100 — low maintenance activity
Compliance: 100/100 — covers 52 of 52 jurisdictions
Documentation: 1/100 — limited documentation
Popularity: 0/100 — 3 stars on github

What is Mcpv and who maintains it?

Authorwibus-wee
CategoryInfrastructure
Stars3
Sourcehttps://github.com/wibus-wee/mcpv
Frameworksanthropic
Protocolsmcp · rest

Regulatory Compliance

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

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What Is Mcpv?

Mcpv is a software tool in the infrastructure category: mcpv is a lightweight elastic orchestrator for managing Model Context Protocol Servers.. It has 3 GitHub stars. Nerq Trust Score: 55/100 (D).

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 Mcpv's Safety

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

The overall Trust Score of 55.0/100 (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 Mcpv?

Mcpv is commonly evaluated by:

How to read the signals: Mcpv's measured signals (security 0/100, maintenance 1/100, documentation 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 Mcpv'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's 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 Mcpv's dependency tree.
  3. Review permissions — Understand what access Mcpv requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Mcpv 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=mcpv
  6. Review the license — Confirm that Mcpv'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 Mcpv

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

Data handling

Understand how Mcpv 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 Mcpv's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.

Update frequency

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

Third-party integrations

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

Mcpv and the EU AI Act

Mcpv 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 compliance assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal compliance.

Best Practices for Using Mcpv Safely

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

Conduct regular audits

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

Keep dependencies updated

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

Follow least privilege

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

Monitor for security advisories

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

Situations That Warrant Independent Review of Mcpv

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

For each situation, compare Mcpv's measured trust score of 55.0/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Mcpv is suitable for any particular use.

How Mcpv 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. Mcpv's score of 55.0/100 is near the category average of 62/100.

This places Mcpv in line with the typical infrastructure 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 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.

Trust Score History

Nerq continuously monitors Mcpv 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 maintenance patterns change, Mcpv'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 Mcpv's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=mcpv&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 Mcpv are strengthening or weakening over time.

Mcpv vs Alternatives

In the infrastructure category, Mcpv scores 55.0/100. There are higher-scoring alternatives available. For a detailed comparison, see:

Key Takeaways

Frequently Asked Questions

Is Mcpv Safe?
mcpv with a Nerq Trust Score of 55.0/100 (D). Strongest signal: compliance (100/100). Score based on Security (0/100), Maintenance (1/100), Popularity (0/100), Documentation (1/100).
What is Mcpv's trust score?
mcpv: 55.0/100 (D). Score based on Security (0/100), Maintenance (1/100), Popularity (0/100), Documentation (1/100). Compliance: 100/100. Scores update as new data becomes available. API: GET nerq.ai/v1/preflight?target=mcpv
What are safer alternatives to Mcpv?
In the Infrastructure category, higher-rated alternatives include n8n-io/n8n (69/100), langflow-ai/langflow (81/100), langgenius/dify (70/100). mcpv scores 55.0/100.
How often is Mcpv's safety score updated?
Nerq recomputes Mcpv's trust score as new data becomes available. Current: 55.0/100 (D). API: GET nerq.ai/v1/preflight?target=mcpv
Can I use Mcpv in a regulated environment?
Mcpv: 55.0/100 (D). Compliance: 52 of 52 jurisdictions. EU AI Act compliant. Evaluate against your own regulatory requirements.
API: /v1/preflight Trust Badge API Docs

See Also

Disclaimer: Nerq trust scores are automated measurements based on publicly available signals. They are not endorsements, verdicts, or guarantees of suitability. Always evaluate the signals against your own requirements.

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