Is Ilyagusev Academia Mcp Safe?

Ilyagusev Academia Mcp — Nerq Trust Score 40.4/100 (E grade). Based on analysis of 5 trust dimensions, it is has notable safety concerns. Last updated: 2026-05-13.

Exercise caution with Ilyagusev Academia Mcp. Ilyagusev Academia Mcp is a software tool with a Nerq Trust Score of 40.4/100 (E). Below the recommended threshold of 70. 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 Ilyagusev Academia Mcp safe?

NO — USE WITH CAUTION — Ilyagusev Academia Mcp has a Nerq Trust Score of 40.4/100 (E). It has below-average trust signals with significant gaps in security, maintenance, or documentation. Not recommended for production use without thorough manual review and additional security measures.

Security Analysis → Ilyagusev Academia Mcp Privacy Report →

What is Ilyagusev Academia Mcp's trust score?

Ilyagusev Academia Mcp has a Nerq Trust Score of 40.4/100, earning a E grade. This score is based on 5 independently measured dimensions including security, maintenance, and community adoption.

Overall Trust
40.4

What are the key security findings for Ilyagusev Academia Mcp?

Ilyagusev Academia Mcp's strongest signal is overall trust at 40.4/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.

Composite trust score: 40.4/100 across all available signals

What is Ilyagusev Academia Mcp and who maintains it?

Authorhttps://github.com/IlyaGusev/academia_mcp
CategoryUncategorized
Sourcehttps://github.com/IlyaGusev/academia_mcp
Protocolsmcp

What Is Ilyagusev Academia Mcp?

Ilyagusev Academia Mcp is a software tool in the uncategorized category: Search arXiv and ACL Anthology, retrieve citations and references, and browse web sources to accel…. Nerq Trust Score: 40/100 (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 Ilyagusev Academia Mcp'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).

Ilyagusev Academia Mcp receives an overall Trust Score of 40.4/100 (E), which Nerq considers low. This is below the Nerq Verified threshold of 70. We recommend additional due diligence before production deployment.

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

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 Ilyagusev Academia Mcp'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 Ilyagusev Academia Mcp?

Ilyagusev Academia Mcp is designed for:

Risk guidance: We recommend caution with Ilyagusev Academia Mcp. 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 Ilyagusev Academia 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 — 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 Ilyagusev Academia Mcp's dependency tree.
  3. Review permissions — Understand what access Ilyagusev Academia Mcp requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Ilyagusev Academia 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=ai.smithery/IlyaGusev-academia_mcp
  6. Review the license — Confirm that Ilyagusev Academia 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 security concerns openly. Low community engagement may indicate limited peer review of the codebase.

Common Safety Concerns with Ilyagusev Academia Mcp

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

Data handling

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

Update frequency

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

Third-party integrations

If Ilyagusev Academia 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 compliance

Verify that Ilyagusev Academia 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 Ilyagusev Academia Mcp in violation of its license can expose your organization to legal liability.

Best Practices for Using Ilyagusev Academia Mcp Safely

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

Conduct regular audits

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

Keep dependencies updated

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

Follow least privilege

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

Monitor for security advisories

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

When Should You Avoid Ilyagusev Academia Mcp?

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

For each scenario, evaluate whether Ilyagusev Academia Mcp's trust score of 40.4/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.

How Ilyagusev Academia Mcp Compares to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among uncategorized tools, the average Trust Score is 62/100. Ilyagusev Academia Mcp's score of 40.4/100 is below the category average of 62/100.

This suggests that Ilyagusev Academia Mcp trails behind many comparable uncategorized 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.

Trust Score History

Nerq continuously monitors Ilyagusev Academia 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 maintenance patterns change, Ilyagusev Academia 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 security and quality. Conversely, a downward trend may signal reduced maintenance, growing technical debt, or unresolved vulnerabilities. To track Ilyagusev Academia Mcp's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=ai.smithery/IlyaGusev-academia_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 — security, maintenance, documentation, compliance, and community — has evolved independently, providing granular visibility into which aspects of Ilyagusev Academia Mcp are strengthening or weakening over time.

Key Takeaways

What data does Ilyagusev Academia Mcp collect?

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

Is Ilyagusev Academia Mcp 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: Ilyagusev Academia Mcp Security Report

How we calculated this score

Ilyagusev Academia Mcp's trust score of 40.4/100 (E) 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 Ilyagusev Academia Mcp Safe?
Exercise caution. ai.smithery/IlyaGusev-academia_mcp with a Nerq Trust Score of 40.4/100 (E). Strongest signal: overall trust (40.4/100). Score based on multiple trust dimensions.
What is Ilyagusev Academia Mcp's trust score?
ai.smithery/IlyaGusev-academia_mcp: 40.4/100 (E). Score based on multiple trust dimensions. Scores update as new data becomes available. API: GET nerq.ai/v1/preflight?target=ai.smithery/IlyaGusev-academia_mcp
What are safer alternatives to Ilyagusev Academia Mcp?
In the Uncategorized category, more software tools are being analyzed — check back soon. ai.smithery/IlyaGusev-academia_mcp scores 40.4/100.
How often is Ilyagusev Academia Mcp's safety score updated?
Nerq continuously monitors Ilyagusev Academia Mcp and updates its trust score as new data becomes available. Current: 40.4/100 (E), last verified 2026-05-13. API: GET nerq.ai/v1/preflight?target=ai.smithery/IlyaGusev-academia_mcp
Can I use Ilyagusev Academia Mcp in a regulated environment?
Ilyagusev Academia Mcp has not reached the Nerq Verified threshold of 70. Additional due diligence is recommended.
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