Is Cloudbase Mcp Safe? — Trust Score: 85.7/100
According to Nerq's independent analysis of TencentCloudBase/CloudBase-MCP, this infrastructure has a trust score of 85.7 out of 100, earning a A grade. With 974 stars on github, it is recommended for production use. Security score: 0/100. Compliance: 100/100 across 52 jurisdictions. Data sourced from 13+ independent signals including GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-19. Machine-readable data (JSON).
Is Cloudbase Mcp safe?
YES — Cloudbase Mcp has a Nerq Trust Score of 85.7/100 (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.
Trust Assessment
Highly Trusted — TencentCloudBase/CloudBase-MCP ranks among the top AI agents with exceptional trust signals across security, maintenance, and ecosystem metrics. It has been independently assessed by Nerq and demonstrates consistently strong quality indicators.
Trust Signal Breakdown
Details
| Author | TencentCloudBase |
| Category | infrastructure |
| Stars | 974 |
| Source | https://github.com/TencentCloudBase/CloudBase-MCP |
| Frameworks | openai · anthropic |
| Protocols | mcp · rest |
Regulatory Compliance
| EU AI Act Risk Class | Not assessed |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
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What Is Cloudbase Mcp?
Cloudbase Mcp is a AI tool in the infrastructure category. CloudBase MCP - Connect CloudBase to your AI Agent. Go from AI prompt to live app.
As of March 2026, Cloudbase Mcp has 974 stars 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 Cloudbase Mcp's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Cloudbase Mcp performs in each:
- Security (0/100): Cloudbase Mcp's security posture is poor. This score factors in known CVEs, dependency vulnerabilities, security policy presence, and code signing practices.
- Maintenance (1/100): Cloudbase Mcp is potentially abandoned. We track commit frequency, release cadence, issue response times, and PR merge rates.
- Documentation (1/100): Documentation quality is insufficient. This includes README completeness, API documentation, usage examples, and contribution guidelines.
- Compliance (100/100): Cloudbase Mcp is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (1/100): Community adoption is limited. Based on GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 85.7/100 (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 Cloudbase Mcp?
Cloudbase Mcp is designed for:
- Developers and teams working with infrastructure tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Cloudbase Mcp 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 Cloudbase Mcp's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any AI tool:
- Check the source code — Review the repository's security policy, open issues, and recent commits for signs of active maintenance.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Cloudbase Mcp's dependency tree. - Review permissions — Understand what access Cloudbase Mcp requires. AI tools should follow the principle of least privilege.
- Test in isolation — Run Cloudbase Mcp in a sandboxed environment before granting access to production data or systems.
- Monitor continuously — Use Nerq's API to set up automated trust checks:
GET nerq.ai/v1/preflight?target=TencentCloudBase/CloudBase-MCP - Review the license — Confirm that Cloudbase 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.
- 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 Cloudbase Mcp
When evaluating whether Cloudbase Mcp is safe, consider these category-specific risks:
Understand how Cloudbase Mcp processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Cloudbase Mcp's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Cloudbase Mcp. Security patches and bug fixes are only effective if you're running the latest version.
If Cloudbase 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.
Verify that Cloudbase 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 Cloudbase Mcp in violation of its license can expose your organization to legal liability.
Best Practices for Using Cloudbase Mcp Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Cloudbase Mcp while minimizing risk:
Periodically review how Cloudbase Mcp is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Cloudbase Mcp and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Cloudbase Mcp only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Cloudbase Mcp's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Cloudbase Mcp is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Cloudbase Mcp?
Even well-trusted tools aren't right for every situation. Consider avoiding Cloudbase Mcp in these scenarios:
- Scenarios where Cloudbase Mcp's specific capabilities exceed your actual needs — simpler tools may be safer
- Air-gapped environments where the tool cannot receive security updates
- Projects with strict regulatory requirements that haven't been explicitly validated
For each scenario, evaluate whether Cloudbase Mcp's trust score of 85.7/100 meets your organization's risk tolerance. The Nerq Verified status indicates general production readiness, but sector-specific requirements may apply.
How Cloudbase Mcp Compares to Industry Standards
Nerq indexes over 204,000 AI agents and tools across dozens of categories. Among infrastructure tools, the average Trust Score is 62/100. Cloudbase Mcp's score of 85.7/100 is significantly above the category average of 62/100.
This places Cloudbase Mcp in the top tier of infrastructure 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 Cloudbase 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, Cloudbase 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 Cloudbase Mcp's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=TencentCloudBase/CloudBase-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 Cloudbase Mcp are strengthening or weakening over time.
Cloudbase Mcp vs Alternatives
In the infrastructure category, Cloudbase Mcp scores 85.7/100. It ranks among the top tools in its category. For a detailed comparison, see:
- Cloudbase Mcp vs n8n — Trust Score: 79.7/100
- Cloudbase Mcp vs langflow — Trust Score: 87.6/100
- Cloudbase Mcp vs dify — Trust Score: 80.3/100
Key Takeaways
- Cloudbase Mcp has a Trust Score of 85.7/100 (A) and is Nerq Verified.
- Cloudbase Mcp demonstrates strong trust signals and is well-suited for production use with standard security precautions.
- Among infrastructure tools, Cloudbase Mcp scores significantly above the category average of 62/100, demonstrating above-average reliability.
- Always verify safety independently — use Nerq's Preflight API for automated, up-to-date trust checks before integration.
Frequently Asked Questions
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Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.