Is Mcp Scanner Safe?

Mcp Scanner — Nerq Trust Score 88.1/100 (A grade). Based on analysis of 5 trust dimensions, it is considered safe to use. Last updated: 2026-05-13.

Yes, Mcp Scanner is safe to use. Mcp Scanner is a software tool with a Nerq Trust Score of 88.1/100 (A). Recommended for use. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-05-13. Machine-readable data (JSON).

Is Mcp Scanner safe?

YES — Mcp Scanner has a Nerq Trust Score of 88.1/100 (A). It meets Nerq's trust threshold with strong signals across security, maintenance, and community adoption. Recommended for use — review the full report below for specific considerations.

Security Analysis → Mcp Scanner Privacy Report →

What is Mcp Scanner's trust score?

Mcp Scanner has a Nerq Trust Score of 88.1/100, earning a A grade. This score is based on 5 independently measured dimensions including security, maintenance, and community adoption.

Overall Trust
88.1

What are the key security findings for Mcp Scanner?

Mcp Scanner's strongest signal is overall trust at 88.1/100. No known vulnerabilities have been detected. It meets the Nerq Verified threshold of 70+.

Composite trust score: 88.1/100 across all available signals

What is Mcp Scanner and who maintains it?

AuthorUnknown
CategorySecurity
Stars809
SourceN/A

Popular Alternatives in security

bee-san/Ciphey
69.9/100 · B-
github
usestrix/strix
69.6/100 · B-
github
SWE-agent/SWE-agent
68.8/100 · B-
github
promptfoo/promptfoo
64.7/100 · C+
github
TecharoHQ/anubis
72.3/100 · B
github

What Is Mcp Scanner?

Mcp Scanner is a security tool with 809 GitHub stars. Nerq Trust Score: 88/100 (A).

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 Mcp Scanner's Safety

Nerq evaluates every software tool across 13+ independent trust signals drawn from public sources including GitHub, NVD, OSV.dev, OpenSSF Scorecard, and package registries. These signals are grouped into five core dimensions: Security (known CVEs, dependency vulnerabilities, security policies), Maintenance (commit frequency, release cadence, issue response times), Documentation (README quality, API docs, examples), Compliance (license, regulatory alignment across 52 jurisdictions), and Community (stars, forks, downloads, ecosystem integrations).

Mcp Scanner receives an overall Trust Score of 88.1/100 (A), which Nerq considers excellent. This exceeds the Nerq Verified threshold of 70, indicating the tool meets our standards for production use.

Nerq updates trust scores continuously as new data becomes available. To get the latest assessment, query the API: GET nerq.ai/v1/preflight?target=cisco-ai-defense/mcp-scanner

Each dimension is weighted according to its importance for the tool's category. For example, Security and Maintenance carry higher weight for tools that handle sensitive data or execute code, while Community and Documentation are weighted more heavily for developer-facing libraries and frameworks. This ensures that Mcp Scanner's score reflects the risks most relevant to its actual usage patterns. The final score is a weighted average across all five dimensions, normalized to a 0-100 scale with letter grades from A (highest) to F (lowest).

Who Should Use Mcp Scanner?

Mcp Scanner is designed for:

Risk guidance: Mcp Scanner is well-suited for production environments. Its high trust score indicates robust security, active maintenance, and strong community support. Standard security practices (dependency pinning, access controls, monitoring) are still recommended.

How to Verify Mcp Scanner'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 Mcp Scanner's dependency tree.
  3. Review permissions — Understand what access Mcp Scanner requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Mcp Scanner 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=cisco-ai-defense/mcp-scanner
  6. Review the license — Confirm that Mcp Scanner'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 Mcp Scanner

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

Data handling

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

Update frequency

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

Third-party integrations

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

Best Practices for Using Mcp Scanner Safely

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

Conduct regular audits

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

Keep dependencies updated

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

Follow least privilege

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

Monitor for security advisories

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

When Should You Avoid Mcp Scanner?

Even well-trusted tools aren't right for every situation. Consider avoiding Mcp Scanner in these scenarios:

For each scenario, evaluate whether Mcp Scanner's trust score of 88.1/100 meets your organization's risk tolerance. The Nerq Verified status indicates general production readiness, but sector-specific requirements may apply.

How Mcp Scanner Compares to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among security tools, the average Trust Score is 67/100. Mcp Scanner's score of 88.1/100 is significantly above the category average of 67/100.

This places Mcp Scanner in the top tier of security tools that Nerq tracks. Tools scoring this far above average typically demonstrate mature security practices, consistent release cadence, and broad community adoption.

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 Mcp Scanner 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, Mcp Scanner'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 Mcp Scanner's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=cisco-ai-defense/mcp-scanner&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 Mcp Scanner are strengthening or weakening over time.

Mcp Scanner vs Alternatives

In the security category, Mcp Scanner scores 88.1/100. It ranks among the top tools in its category. For a detailed comparison, see:

Key Takeaways

What data does Mcp Scanner collect?

Privacy assessment for Mcp Scanner is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.

Is Mcp Scanner secure?

Security score: under assessment. Review security practices and consider alternatives with higher security scores for sensitive use cases.

Nerq monitors this entity against NVD, OSV.dev, and registry-specific vulnerability databases for ongoing security assessment.

Full analysis: Mcp Scanner Security Report

How we calculated this score

Mcp Scanner's trust score of 88.1/100 (A) is computed from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 0 independent dimensions: . Each dimension is weighted equally to produce the composite trust score.

Nerq analyzes over 7.5 million entities across 26 registries using the same methodology, enabling direct cross-entity comparison. Scores are updated continuously as new data becomes available.

This page was last reviewed on May 13, 2026. Data version: 1.0.

Full methodology documentation · Machine-readable data (JSON API)

Frequently Asked Questions

Is Mcp Scanner Safe?
Yes, it is safe to use. cisco-ai-defense/mcp-scanner with a Nerq Trust Score of 88.1/100 (A). Strongest signal: overall trust (88.1/100). Score based on multiple trust dimensions.
What is Mcp Scanner's trust score?
cisco-ai-defense/mcp-scanner: 88.1/100 (A). Score based on multiple trust dimensions. Scores update as new data becomes available. API: GET nerq.ai/v1/preflight?target=cisco-ai-defense/mcp-scanner
What are safer alternatives to Mcp Scanner?
In the Security category, higher-rated alternatives include bee-san/Ciphey (70/100), usestrix/strix (70/100), SWE-agent/SWE-agent (69/100). cisco-ai-defense/mcp-scanner scores 88.1/100.
How often is Mcp Scanner's safety score updated?
Nerq continuously monitors Mcp Scanner and updates its trust score as new data becomes available. Current: 88.1/100 (A), last verified 2026-05-13. API: GET nerq.ai/v1/preflight?target=cisco-ai-defense/mcp-scanner
Can I use Mcp Scanner in a regulated environment?
Mcp Scanner meets the Nerq Verified threshold (70+). Safe for production use.
API: /v1/preflight Trust Badge API Docs

See Also

Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.

We use cookies for analytics and caching. Privacy