Je Lacrm Mcp bezpečný?
Lacrm Mcp — Nerq Trust Score 56.5/100 (Stupeň D). Skóre založeno na 5 independent trust signals.
Lacrm Mcp je software tool se skóre důvěryhodnosti Nerq 56.5/100 (D), based on 5 nezávislých datových dimenzích. Bezpečnost: 0/100. Údržba: 1/100. Popularita: 0/100. Data pocházejí z více veřejných zdrojů včetně registrů balíčků, GitHubu, NVD, OSV.dev a OpenSSF Scorecard. Naposledy aktualizováno: n/a. Strojově čitelná data (JSON).
Je Lacrm Mcp bezpečný?
Rozpis skóre důvěryhodnosti — Lacrm Mcp has a Nerq Trust Score of 56.5/100 (D). Measured across 5 independent trust signals.
Jaké je skóre důvěryhodnosti Lacrm Mcp?
Lacrm Mcp má Nerq skóre důvěryhodnosti 56.5/100 se stupněm D. Toto skóre je založeno na 5 nezávisle měřených dimenzích.
Jaká jsou klíčová bezpečnostní zjištění pro Lacrm Mcp?
Nejsilnější signál Lacrm Mcp je shoda na 80/100. Nebyly zjištěny žádné známé zranitelnosti.
Co je Lacrm Mcp a kdo jej spravuje?
| Autor | optimize-overseas |
| Kategorie | Other |
| Zdroj | https://github.com/optimize-overseas/lacrm-mcp |
| Frameworks | anthropic · mcp |
| Protocols | mcp · rest |
Regulační shoda
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 80/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Populární alternativy v other
What Is Lacrm Mcp?
Lacrm Mcp is a software tool in the other category: MCP server for Less Annoying CRM with API access through 83 tools.. Nerq Trust Score: 56/100 (D).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including bezpečnost vulnerabilities, údržba activity, license shoda, and přijetí komunitou.
How Nerq Assesses Lacrm Mcp's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimenzích. Here is how Lacrm Mcp performs in each:
- Bezpečnost (0/100): Lacrm Mcp's bezpečnost posture is poor. This score factors in known CVEs, dependency vulnerabilities, bezpečnost policy presence, and code signing practices.
- Údržba (1/100): Lacrm 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 dokumentace, usage examples, and contribution guidelines.
- Compliance (80/100): Lacrm Mcp is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. Založeno na 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 Lacrm Mcp?
Lacrm Mcp is commonly evaluated by:
- Developers and teams working with other tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
How to read the signals: Lacrm Mcp's measured signals (bezpečnost 0/100, údržba 1/100, dokumentace 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 Lacrm Mcp's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Zkontrolujte repository's bezpečnost policy, open issues, and recent commits for signs of active údržba.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Lacrm Mcp's dependency tree. - Recenze permissions — Understand what access Lacrm Mcp requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Lacrm 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=lacrm-mcp - Zkontrolujte license — Confirm that Lacrm 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 bezpečnost concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Lacrm Mcp
When evaluating whether Lacrm Mcp is safe, consider these category-specific risks:
Understand how Lacrm Mcp processes, stores, and transmits your data. Zkontrolujte tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Lacrm Mcp's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher bezpečnost risk.
Regularly check for updates to Lacrm Mcp. Bezpečnost patches and bug fixes are only effective if you're running the latest version.
If Lacrm 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 Lacrm 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 Lacrm Mcp in violation of its license can expose your organization to legal liability.
Lacrm Mcp and the EU AI Act
Lacrm Mcp 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 shoda assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal shoda.
Best Practices for Using Lacrm Mcp Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Lacrm Mcp while minimizing risk:
Periodically review how Lacrm Mcp is used in your workflow. Check for unexpected behavior, permissions drift, and shoda with your bezpečnost policies.
Ensure Lacrm Mcp and all its dependencies are running the latest stable versions to benefit from bezpečnost patches.
Grant Lacrm Mcp only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Lacrm Mcp's bezpečnost advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Lacrm Mcp is used within your organization, including data handling guidelines and acceptable use cases.
Situations That Warrant Independent Review of Lacrm Mcp
Nerq's signals are one input. In the following situations, evaluate Lacrm Mcp'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 Lacrm Mcp's measured trust score of 56.5/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Lacrm Mcp is suitable for any particular use.
How Lacrm Mcp Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among other tools, the average Trust Score is 62/100. Lacrm Mcp's score of 56.5/100 is near the category average of 62/100.
This places Lacrm Mcp in line with the typical other 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 střední 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 Lacrm 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 údržba patterns change, Lacrm 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 bezpečnost and quality. Conversely, a downward trend may signal reduced údržba, growing technical debt, or unresolved vulnerabilities. To track Lacrm Mcp's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=lacrm-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 — bezpečnost, údržba, dokumentace, shoda, and community — has evolved independently, providing granular visibility into which aspects of Lacrm Mcp are strengthening or weakening over time.
Lacrm Mcp vs Alternativy
In the other category, Lacrm Mcp scores 56.5/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Lacrm Mcp vs cs-video-courses — Trust Score: 59.9/100
- Lacrm Mcp vs awesome-scalability — Trust Score: 59.4/100
- Lacrm Mcp vs superpowers — Trust Score: 62.4/100
Hlavní závěry
- Lacrm Mcp has a measured Nerq Trust Score of 56.5/100 (D) — a composite of independent signals, not a suitability judgment.
- Among other tools, Lacrm Mcp scores near the category average of 62/100 (a positional measurement relative to peers).
- The individual signals — bezpečnost, údržba, dokumentace, shoda, community — are shown above. Weigh them against your own requirements.
- Query the current measured values via Nerq's Preflight API.
Často kladené otázky
Je Lacrm Mcp bezpečný?
Jaké je skóre důvěryhodnosti Lacrm Mcp?
Jaké jsou bezpečnější alternativy k Lacrm Mcp?
Jak často se aktualizuje bezpečnostní skóre Lacrm Mcp?
Mohu používat Lacrm Mcp v regulovaném prostředí?
Viz také
Disclaimer: Skóre důvěryhodnosti Nerq jsou automatizovaná hodnocení založená na veřejně dostupných signálech. Nejsou doporučením ani zárukou. Vždy proveďte vlastní ověření.