Is Mcp Youtube Intelligence Safe? — Trust Score: 80.5/100

According to Nerq's independent analysis of mcp-youtube-intelligence, this content has a trust score of 80.5 out of 100, earning a A grade. With 0 stars on github, it is recommended for production use. Security score: 0/100. Compliance: 100/100 across 52 jurisdictions. EU AI Act classification: minimal. Data sourced from 13+ independent signals including GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-19. Machine-readable data (JSON).

mcp-youtube-intelligence has a Nerq Trust Score of 80.5/100 (A). Recommended — meets Nerq Verified threshold. Its strongest signal is compliance (100/100). Compliance: 52 of 52 jurisdictions. EU AI Act compliant. Last verified: 2026-03-19.

Is Mcp Youtube Intelligence safe?

YES — Mcp Youtube Intelligence has a Nerq Trust Score of 80.5/100 (A). It meets Nerq's trust threshold with strong signals across security, maintenance, and community adoption. Recommended for production use — review the full report below for specific considerations.

80.5
out of 100
A content github verified

Trust Assessment

Trusted — mcp-youtube-intelligence demonstrates strong trust signals. It meets the threshold for Nerq Verified status, indicating solid security practices, active maintenance, and a healthy ecosystem presence.

Trust Signal Breakdown

Security
0
Code quality, vulnerability exposure, and security practices.
Compliance
100
Regulatory alignment. EU AI Act risk class: minimal.
Maintenance
1
Update frequency, issue responsiveness, active development.
Documentation
1
README quality, API docs, usage examples.
Popularity
0
Community adoption. 0 stars on github.

Details

AuthorJangHyuckYun
Categorycontent
Stars0
Sourcehttps://github.com/JangHyuckYun/mcp-youtube-intelligence
Frameworksopenai · anthropic
Protocolsmcp · rest

Regulatory Compliance

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

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What Is Mcp Youtube Intelligence?

Mcp Youtube Intelligence is a AI tool in the content category. MCP server for YouTube transcript extraction, channel monitoring, and content intelligence

As of March 2026, Mcp Youtube Intelligence is available on github, making it an emerging tool in the AI ecosystem. But popularity alone does not equal safety — which is why Nerq independently analyzes every tool across 13+ trust signals.

How Nerq Assesses Mcp Youtube Intelligence's Safety

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

The overall Trust Score of 80.5/100 (A) reflects the weighted combination of these signals. This exceeds the Nerq Verified threshold of 70, indicating the tool meets our standards for production use.

Who Should Use Mcp Youtube Intelligence?

Mcp Youtube Intelligence is designed for:

Risk guidance: Mcp Youtube Intelligence 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 Youtube Intelligence's Safety Yourself

While Nerq provides automated trust analysis, we recommend these additional steps before adopting any AI 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 Youtube Intelligence's dependency tree.
  3. Review permissions — Understand what access Mcp Youtube Intelligence requires. AI tools should follow the principle of least privilege.
  4. Test in isolation — Run Mcp Youtube Intelligence 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=mcp-youtube-intelligence
  6. Review the license — Confirm that Mcp Youtube Intelligence'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 Youtube Intelligence

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

Data handling

Understand how Mcp Youtube Intelligence 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 Youtube Intelligence'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 Youtube Intelligence. Security patches and bug fixes are only effective if you're running the latest version.

Third-party integrations

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

Mcp Youtube Intelligence and the EU AI Act

Mcp Youtube Intelligence 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 Mcp Youtube Intelligence Safely

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

Conduct regular audits

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

Keep dependencies updated

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

Follow least privilege

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

Monitor for security advisories

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

When Should You Avoid Mcp Youtube Intelligence?

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

For each scenario, evaluate whether Mcp Youtube Intelligence's trust score of 80.5/100 meets your organization's risk tolerance. The Nerq Verified status indicates general production readiness, but sector-specific requirements may apply.

How Mcp Youtube Intelligence Compares to Industry Standards

Nerq indexes over 204,000 AI agents and tools across dozens of categories. Among content tools, the average Trust Score is 62/100. Mcp Youtube Intelligence's score of 80.5/100 is significantly above the category average of 62/100.

This places Mcp Youtube Intelligence in the top tier of content 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 Youtube Intelligence 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 Youtube Intelligence'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 Youtube Intelligence's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=mcp-youtube-intelligence&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 Youtube Intelligence are strengthening or weakening over time.

Mcp Youtube Intelligence vs Alternatives

In the content category, Mcp Youtube Intelligence scores 80.5/100. It ranks among the top tools in its category. For a detailed comparison, see:

Key Takeaways

Frequently Asked Questions

Is mcp-youtube-intelligence safe to use?
mcp-youtube-intelligence has a Nerq Trust Score of 80.5/100, earning a A grade. Trusted — mcp-youtube-intelligence demonstrates strong trust signals. It meets the threshold for Nerq Verified status, indicating solid security practices, active maintenance, and a healthy ecosystem presence. Its strongest signal is compliance (100/100). It is Nerq Verified, meaning it meets the 70+ trust threshold. Always review the full KYA report before using any AI agent in production.
What is mcp-youtube-intelligence's trust score?
Nerq assigns mcp-youtube-intelligence a trust score of 80.5 out of 100, with a grade of A. This score is computed from multiple dimensions including security, compliance, maintenance activity, documentation quality, and community adoption (0 stars). Compliance score: 100/100. EU AI Act risk class: minimal. Scores are updated daily based on the latest publicly available signals.
Are there safer alternatives to mcp-youtube-intelligence?
In the content category, higher-rated alternatives include linshenkx/prompt-optimizer, AIGC-Audio/AudioGPT, google/magika (scores: 74, 74, 74). mcp-youtube-intelligence scores 80.5/100. When choosing between agents, consider your specific requirements for security (N/A), maintenance activity (1), and documentation (1). Use Nerq's comparison tools or the KYA endpoint for detailed side-by-side analysis.
How often is Mcp Youtube Intelligence's safety score updated?
Nerq continuously monitors Mcp Youtube Intelligence and updates its trust score as new data becomes available. The system ingests signals from 13+ independent sources including GitHub, NVD (National Vulnerability Database), OSV.dev, OpenSSF Scorecard, and major package registries (npm, PyPI). When a new CVE is disclosed, a dependency is updated, or commit activity changes, the score adjusts automatically. For the most current score, query the Nerq API: GET nerq.ai/v1/preflight?target=mcp-youtube-intelligence. The current assessment (80.5/100, A) was last verified on 2026-03-19.
Can I use Mcp Youtube Intelligence in a regulated environment?
Yes — Mcp Youtube Intelligence meets the Nerq Verified threshold (70+), indicating it has passed automated trust checks across security, compliance, and maintenance dimensions. Nerq assesses compliance across 52 jurisdictions. Mcp Youtube Intelligence has a compliance score of 100/100. Under the EU AI Act, Mcp Youtube Intelligence is classified as minimal risk. For organizations in regulated industries (healthcare, finance, government), we recommend combining the Nerq Trust Score with your internal security review process, vendor risk assessment, and legal compliance check before deployment.

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