Er Fergus Mcp trygt?
Fergus Mcp — Nerq Trust Score 56.5/100 (Karakter D). Poeng basert på 5 independent trust signals.
Fergus Mcp er en software tool har en Nerq-tillitspoeng på 56.5/100 (D), based on 5 uavhengige datadimensjoner. Sikkerhet: 0/100. Vedlikehold: 1/100. Popularitet: 0/100. Data hentet fra flere offentlige kilder inkludert pakkeregistre, GitHub, NVD, OSV.dev og OpenSSF Scorecard. Sist oppdatert: n/a. Maskinlesbare data (JSON).
Er Fergus Mcp trygt?
Tillitspoeng detaljer — Fergus Mcp har en Nerq-tillitspoeng på 56.5/100 (D). Measured across 5 independent trust signals.
Hva er tillitspoengene til Fergus Mcp?
Fergus Mcp har en Nerq-tillitspoeng på 56.5/100 med karakteren D. Denne poengsummen er basert på 5 uavhengig målte dimensjoner, inkludert sikkerhet, vedlikehold og samfunnsadopsjon.
Hva er de viktigste sikkerhetsfunnene for Fergus Mcp?
Fergus Mcps sterkeste signal er samsvar på 87/100. Ingen kjente sårbarheter er funnet.
Hva er Fergus Mcp og hvem vedlikeholder det?
| Utvikler | Jayco-Design |
| Kategori | Infrastructure |
| Kilde | https://github.com/Jayco-Design/fergus-mcp |
| Frameworks | anthropic · mcp |
| Protocols | mcp · rest |
Regulatorisk samsvar
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 87/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Populære alternativer i infrastructure
What Is Fergus Mcp?
Fergus Mcp is a software tool in the infrastructure category: Fergus MCP Server for AI integrates with Fergus API to manage AI assistant interactions.. Nerq Trust Score: 56/100 (D).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including sikkerhet vulnerabilities, vedlikehold activity, license samsvar, and fellesskapsadopsjon.
How Nerq Assesses Fergus Mcp's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensjoner. Here is how Fergus Mcp performs in each:
- Sikkerhet (0/100): Fergus Mcp's sikkerhet posture is poor. This score factors in known CVEs, dependency vulnerabilities, sikkerhet policy presence, and code signing practices.
- Vedlikehold (1/100): Fergus 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 dokumentasjon, usage examples, and contribution guidelines.
- Compliance (87/100): Fergus 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. Basert på 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 Fergus Mcp?
Fergus Mcp 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: Fergus Mcp's measured signals (sikkerhet 0/100, vedlikehold 1/100, dokumentasjon 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 Fergus Mcp's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Gjennomgå repository's sikkerhet policy, open issues, and recent commits for signs of active vedlikehold.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for kjente sårbarheter in Fergus Mcp's dependency tree. - Anmeldelse permissions — Understand what access Fergus Mcp requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Fergus 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=fergus-mcp - Gjennomgå license — Confirm that Fergus 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 sikkerhet concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Fergus Mcp
When evaluating whether Fergus Mcp is safe, consider these category-specific risks:
Understand how Fergus Mcp processes, stores, and transmits your data. Gjennomgå tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Fergus Mcp's dependency tree for kjente sårbarheter. Tools with outdated or unmaintained dependencies pose a higher sikkerhet risk.
Regularly check for updates to Fergus Mcp. Sikkerhet patches and bug fixes are only effective if you're running the latest version.
If Fergus 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 Fergus 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 Fergus Mcp in violation of its license can expose your organization to legal liability.
Fergus Mcp and the EU AI Act
Fergus 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 samsvar assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal samsvar.
Best Practices for Using Fergus Mcp Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Fergus Mcp while minimizing risk:
Periodically review how Fergus Mcp is used in your workflow. Check for unexpected behavior, permissions drift, and samsvar with your sikkerhet policies.
Ensure Fergus Mcp and all its dependencies are running the latest stable versions to benefit from sikkerhet patches.
Grant Fergus Mcp only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Fergus Mcp's sikkerhet advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Fergus Mcp is used within your organization, including data handling guidelines and acceptable use cases.
Situations That Warrant Independent Review of Fergus Mcp
Nerq's signals are one input. In the following situations, evaluate Fergus 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 Fergus Mcp's measured trust score of 56.5/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Fergus Mcp is suitable for any particular use.
How Fergus Mcp 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. Fergus Mcp's score of 56.5/100 is near the category average of 62/100.
This places Fergus Mcp 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 moderat 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 Fergus 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 vedlikehold patterns change, Fergus 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 sikkerhet and quality. Conversely, a downward trend may signal reduced vedlikehold, growing technical debt, or unresolved vulnerabilities. To track Fergus Mcp's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=fergus-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 — sikkerhet, vedlikehold, dokumentasjon, samsvar, and community — has evolved independently, providing granular visibility into which aspects of Fergus Mcp are strengthening or weakening over time.
Fergus Mcp vs Alternativer
In the infrastructure category, Fergus Mcp scores 56.5/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Fergus Mcp vs n8n — Trust Score: 69.1/100
- Fergus Mcp vs langflow — Trust Score: 77.0/100
- Fergus Mcp vs dify — Trust Score: 69.7/100
Viktigste punkter
- Fergus Mcp has a measured Nerq Trust Score of 56.5/100 (D) — a composite of independent signals, not a suitability judgment.
- Among infrastructure tools, Fergus Mcp scores near the category average of 62/100 (a positional measurement relative to peers).
- The individual signals — sikkerhet, vedlikehold, dokumentasjon, samsvar, community — are shown above. Weigh them against your own requirements.
- Query the current measured values via Nerq's Preflight API.
Ofte stilte spørsmål
Er Fergus Mcp trygt?
Hva er tillitspoengene til Fergus Mcp?
Hva er tryggere alternativer til Fergus Mcp?
Hvor ofte oppdateres Fergus Mcps sikkerhetspoeng?
Kan jeg bruke Fergus Mcp i et regulert miljø?
Se også
Disclaimer: Nerqs tillitspoeng er automatiserte vurderinger basert på offentlig tilgjengelige signaler. De utgjør ikke anbefalinger eller garantier. Utfør alltid din egen verifisering.