Is Mosaicmcp Safe?
Mosaicmcp — Nerq Trust Score 56.5/100 (D grade). Score based on 5 independent trust signals.
Mosaicmcp is a software tool with a Nerq Trust Score of 56.5/100 (D), based on 5 independent data dimensions. 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: n/a. Machine-readable data (JSON).
Is Mosaicmcp safe?
Trust Score Breakdown — Mosaicmcp has a Nerq Trust Score of 56.5/100 (D). Measured across 5 independent trust signals.
What is Mosaicmcp's trust score?
Mosaicmcp has a Nerq Trust Score of 56.5/100, earning a D grade. This score is based on 5 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Mosaicmcp?
Mosaicmcp's strongest signal is compliance at 100/100. No known vulnerabilities have been detected.
What is Mosaicmcp and who maintains it?
| Author | Will-orderful |
| Category | Infrastructure |
| Source | https://github.com/Will-orderful/mosaicMCP |
| Frameworks | openai · anthropic · mcp |
| Protocols | mcp · rest |
Regulatory Compliance
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Popular Alternatives in infrastructure
What Is Mosaicmcp?
Mosaicmcp is a software tool in the infrastructure category: MCP server for Orderful's Mosaic transaction APIs with EDI schema support.. Nerq Trust Score: 56/100 (D).
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 Mosaicmcp's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Mosaicmcp performs in each:
- Security (0/100): Mosaicmcp's security posture is poor. This score factors in known CVEs, dependency vulnerabilities, security policy presence, and code signing practices.
- Maintenance (1/100): Mosaicmcp 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): Mosaicmcp 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 56.5/100 (D) is the weighted combination of these measured signals. It is a measurement, not a pass/fail or suitability judgment — weigh the individual signals against your own requirements.
Who Typically Evaluates Mosaicmcp?
Mosaicmcp is commonly evaluated by:
- Developers and teams working with infrastructure tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
How to read the signals: Mosaicmcp's measured signals (security 0/100, maintenance 1/100, documentation 1/100, community 0/100) are shown above. These are measurements, not a suitability judgment — weigh each signal against the requirements of your own use case and risk tolerance.
How to Verify Mosaicmcp's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software 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 Mosaicmcp's dependency tree. - Review permissions — Understand what access Mosaicmcp requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Mosaicmcp 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=mosaicMCP - Review the license — Confirm that Mosaicmcp'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 Mosaicmcp
When evaluating whether Mosaicmcp is safe, consider these category-specific risks:
Understand how Mosaicmcp processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Mosaicmcp's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Mosaicmcp. Security patches and bug fixes are only effective if you're running the latest version.
If Mosaicmcp 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 Mosaicmcp's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Mosaicmcp in violation of its license can expose your organization to legal liability.
Mosaicmcp and the EU AI Act
Mosaicmcp 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 Mosaicmcp Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Mosaicmcp while minimizing risk:
Periodically review how Mosaicmcp is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Mosaicmcp and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Mosaicmcp only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Mosaicmcp's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Mosaicmcp is used within your organization, including data handling guidelines and acceptable use cases.
Situations That Warrant Independent Review of Mosaicmcp
Nerq's signals are one input. In the following situations, evaluate Mosaicmcp's measured signals against your own requirements before making a decision:
- Environments handling sensitive or regulated data (healthcare, finance, government)
- Mission-critical systems where downtime has significant business impact
- Deployments with strict regulatory requirements that must be independently validated
For each situation, compare Mosaicmcp's measured trust score of 56.5/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Mosaicmcp is suitable for any particular use.
How Mosaicmcp Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among infrastructure tools, the average Trust Score is 62/100. Mosaicmcp's score of 56.5/100 is near the category average of 62/100.
This places Mosaicmcp in line with the typical infrastructure tool tool. It meets baseline expectations but does not distinguish itself from peers on trust metrics.
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 Mosaicmcp 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, Mosaicmcp'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 Mosaicmcp's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=mosaicMCP&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 Mosaicmcp are strengthening or weakening over time.
Mosaicmcp vs Alternatives
In the infrastructure category, Mosaicmcp scores 56.5/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Mosaicmcp vs n8n — Trust Score: 69.1/100
- Mosaicmcp vs langflow — Trust Score: 77.0/100
- Mosaicmcp vs dify — Trust Score: 69.7/100
Key Takeaways
- Mosaicmcp has a measured Nerq Trust Score of 56.5/100 (D) — a composite of independent signals, not a suitability judgment.
- Among infrastructure tools, Mosaicmcp scores near the category average of 62/100 (a positional measurement relative to peers).
- The individual signals — security, maintenance, documentation, compliance, community — are shown above. Weigh them against your own requirements.
- Query the current measured values via Nerq's Preflight API.
Frequently Asked Questions
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See Also
Disclaimer: Nerq trust scores are automated measurements based on publicly available signals. They are not endorsements, verdicts, or guarantees of suitability. Always evaluate the signals against your own requirements.