Is Mcp Databricks Server Safe? — Trust Score: 77.4/100
According to Nerq's independent analysis of RafaelCartenet/mcp-databricks-server, this data has a trust score of 77.4 out of 100, earning a B grade. With 36 stars on github, it is recommended for production use. Security score: 0/100. Compliance: 99/100 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).
Is Mcp Databricks Server safe?
YES — Mcp Databricks Server has a Nerq Trust Score of 77.4/100 (B). 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
Trusted — RafaelCartenet/mcp-databricks-server 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
Details
| Author | RafaelCartenet |
| Category | data |
| Stars | 36 |
| Source | https://github.com/RafaelCartenet/mcp-databricks-server |
| Protocols | mcp |
Regulatory Compliance
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 99/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
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What Is Mcp Databricks Server?
Mcp Databricks Server is a AI tool in the data category. Model Context Protocol (MCP) server for Databricks that empowers AI agents to autonomously interact with Unity Catalog metadata. Enables data discovery, lineage analysis, and intelligent SQL execution. Agents explore catalogs/schemas/tables, understand relationships, discover notebooks/jobs, and exe
As of March 2026, Mcp Databricks Server 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 Databricks Server's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Mcp Databricks Server performs in each:
- Security (0/100): Mcp Databricks Server's security posture is poor. This score factors in known CVEs, dependency vulnerabilities, security policy presence, and code signing practices.
- Maintenance (1/100): Mcp Databricks Server 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 (99/100): Mcp Databricks Server is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. Based on GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 77.4/100 (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 Mcp Databricks Server?
Mcp Databricks Server is designed for:
- Developers and teams working with data tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Mcp Databricks Server 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 Mcp Databricks Server'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 Mcp Databricks Server's dependency tree. - Review permissions — Understand what access Mcp Databricks Server requires. AI tools should follow the principle of least privilege.
- Test in isolation — Run Mcp Databricks Server 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=RafaelCartenet/mcp-databricks-server - Review the license — Confirm that Mcp Databricks Server'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 Mcp Databricks Server
When evaluating whether Mcp Databricks Server is safe, consider these category-specific risks:
Understand how Mcp Databricks Server processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Mcp Databricks Server's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Mcp Databricks Server. Security patches and bug fixes are only effective if you're running the latest version.
If Mcp Databricks Server 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 Mcp Databricks Server'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 Databricks Server in violation of its license can expose your organization to legal liability.
Mcp Databricks Server and the EU AI Act
Mcp Databricks Server 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 Databricks Server Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Mcp Databricks Server while minimizing risk:
Periodically review how Mcp Databricks Server is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Mcp Databricks Server and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Mcp Databricks Server only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Mcp Databricks Server's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Mcp Databricks Server is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Mcp Databricks Server?
Even well-trusted tools aren't right for every situation. Consider avoiding Mcp Databricks Server in these scenarios:
- Scenarios where Mcp Databricks Server'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 Mcp Databricks Server's trust score of 77.4/100 meets your organization's risk tolerance. The Nerq Verified status indicates general production readiness, but sector-specific requirements may apply.
How Mcp Databricks Server Compares to Industry Standards
Nerq indexes over 204,000 AI agents and tools across dozens of categories. Among data tools, the average Trust Score is 62/100. Mcp Databricks Server's score of 77.4/100 is significantly above the category average of 62/100.
This places Mcp Databricks Server in the top tier of data 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 Databricks Server 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 Databricks Server'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 Databricks Server's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=RafaelCartenet/mcp-databricks-server&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 Databricks Server are strengthening or weakening over time.
Mcp Databricks Server vs Alternatives
In the data category, Mcp Databricks Server scores 77.4/100. It ranks among the top tools in its category. For a detailed comparison, see:
- Mcp Databricks Server vs firecrawl — Trust Score: 73.8/100
- Mcp Databricks Server vs MinerU — Trust Score: 84.6/100
- Mcp Databricks Server vs mindsdb — Trust Score: 77.5/100
Key Takeaways
- Mcp Databricks Server has a Trust Score of 77.4/100 (B) and is Nerq Verified.
- Mcp Databricks Server meets the minimum threshold for production deployment, though monitoring and additional guardrails are recommended.
- Among data tools, Mcp Databricks Server 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.
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