Is Exa Mcpb Safe?

Exa Mcpb — Nerq Trust Score 72.1/100 (B grade). Based on analysis of 5 trust dimensions, it is generally safe but has some concerns. Last updated: 2026-04-28.

Yes, Exa Mcpb is safe to use. Exa Mcpb is a software tool with a Nerq Trust Score of 72.1/100 (B), based on 5 independent data dimensions. Recommended for use. 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: 2026-04-28. Machine-readable data (JSON).

Is Exa Mcpb safe?

YES — Exa Mcpb has a Nerq Trust Score of 72.1/100 (B). 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 → Exa Mcpb Privacy Report →

What is Exa Mcpb's trust score?

Exa Mcpb has a Nerq Trust Score of 72.1/100, earning a B 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 Exa Mcpb?

Exa Mcpb's strongest signal is compliance at 100/100. No known vulnerabilities have been detected. It meets the Nerq Verified threshold of 70+.

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 — community adoption

What is Exa Mcpb and who maintains it?

Authorzerocore-ai-library
CategoryCoding
Sourcehttps://github.com/zerocore-ai-library/exa-mcpb
Frameworksopenai · mcp
Protocolsmcp · rest

Regulatory Compliance

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

Popular Alternatives in coding

Significant-Gravitas/AutoGPT
63.2/100 · C+
github
ollama/ollama
58.0/100 · C
github
langchain-ai/langchain
71.3/100 · B
github
x1xhlol/system-prompts-and-models-of-ai-tools
56.5/100 · C
github
anomalyco/opencode
64.1/100 · C+
github

What Is Exa Mcpb?

Exa Mcpb is a software tool in the coding category: A remote MCP server for AI-powered web and code search, and research.. Nerq Trust Score: 72/100 (B).

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 Exa Mcpb's Safety

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

The overall Trust Score of 72.1/100 (B) 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 Exa Mcpb?

Exa Mcpb is designed for:

Risk guidance: Exa Mcpb meets the minimum threshold for production use, but we recommend monitoring for security advisories and keeping dependencies up to date. Consider implementing additional guardrails for sensitive workloads.

How to Verify Exa Mcpb'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 Exa Mcpb's dependency tree.
  3. Review permissions — Understand what access Exa Mcpb requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Exa Mcpb 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=exa-mcpb
  6. Review the license — Confirm that Exa Mcpb'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 Exa Mcpb

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

Data handling

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

Update frequency

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

Third-party integrations

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

Exa Mcpb and the EU AI Act

Exa Mcpb 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 Exa Mcpb Safely

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

Conduct regular audits

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

Keep dependencies updated

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

Follow least privilege

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

Monitor for security advisories

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

When Should You Avoid Exa Mcpb?

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

For each scenario, evaluate whether Exa Mcpb's trust score of 72.1/100 meets your organization's risk tolerance. The Nerq Verified status indicates general production readiness, but sector-specific requirements may apply.

How Exa Mcpb Compares to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among coding tools, the average Trust Score is 62/100. Exa Mcpb's score of 72.1/100 is significantly above the category average of 62/100.

This places Exa Mcpb in the top tier of coding 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 Exa Mcpb 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, Exa Mcpb'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 Exa Mcpb's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=exa-mcpb&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 Exa Mcpb are strengthening or weakening over time.

Exa Mcpb vs Alternatives

In the coding category, Exa Mcpb scores 72.1/100. There are higher-scoring alternatives available. For a detailed comparison, see:

Key Takeaways

Detailed Score Analysis

DimensionScore
Security0/100
Maintenance1/100
Popularity0/100

Based on 3 dimensions. Data from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard.

What data does Exa Mcpb collect?

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

Is Exa Mcpb secure?

Security score: 0/100. 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: Exa Mcpb Security Report

How we calculated this score

Exa Mcpb's trust score of 72.1/100 (B) is computed from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 3 independent dimensions: security (0/100), maintenance (1/100), popularity (0/100). 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 April 28, 2026. Data version: 1.0.

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

Frequently Asked Questions

Is Exa Mcpb Safe?
Yes, it is safe to use. exa-mcpb with a Nerq Trust Score of 72.1/100 (B). Strongest signal: compliance (100/100). Score based on Security (0/100), Maintenance (1/100), Popularity (0/100), Documentation (1/100).
What is Exa Mcpb's trust score?
exa-mcpb: 72.1/100 (B). 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=exa-mcpb
What are safer alternatives to Exa Mcpb?
In the Coding category, higher-rated alternatives include Significant-Gravitas/AutoGPT (63/100), ollama/ollama (58/100), langchain-ai/langchain (71/100). exa-mcpb scores 72.1/100.
How often is Exa Mcpb's safety score updated?
Nerq continuously monitors Exa Mcpb and updates its trust score as new data becomes available. Current: 72.1/100 (B), last verified 2026-04-28. API: GET nerq.ai/v1/preflight?target=exa-mcpb
Can I use Exa Mcpb in a regulated environment?
Exa Mcpb 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