Er Deepwiki Mcp trygt?
Deepwiki Mcp — Nerq Trust Score 72.5/100 (Karakter B). Basert på analyse av 4 tillidsdimensjoner vurderes det som generelt trygt men med visse bekymringer. Sist oppdatert: 2026-07-16.
Ja, Deepwiki Mcp er trygt å bruke. Deepwiki Mcp er en software tool (📖 MCP server for fetch deepwiki) har en Nerq-tillitspoeng på 72.5/100 (B), based on 4 uavhengige datadimensjoner. Anbefalt for bruk. Vedlikehold: 0/100. Popularitet: 1/100. Data hentet fra flere offentlige kilder inkludert pakkeregistre, GitHub, NVD, OSV.dev og OpenSSF Scorecard. Sist oppdatert: 2026-07-16. Maskinlesbare data (JSON).
Er Deepwiki Mcp trygt?
YES — Deepwiki Mcp har en Nerq-tillitspoeng på 72.5/100 (B). Oppfyller Nerqs tillitsterskel med sterke signaler innen sikkerhet, vedlikehold og fellesskapsadopsjon. Anbefalt for bruk — gjennomgå den fullstendige rapporten nedenfor for spesifikke hensyn.
Hva er tillitspoengene til Deepwiki Mcp?
Deepwiki Mcp har en Nerq-tillitspoeng på 72.5/100 med karakteren B. Denne poengsummen er basert på 4 uavhengig målte dimensjoner, inkludert sikkerhet, vedlikehold og samfunnsadopsjon.
Hva er de viktigste sikkerhetsfunnene for Deepwiki Mcp?
Deepwiki Mcps sterkeste signal er samsvar på 100/100. Ingen kjente sårbarheter er funnet. It meets the Nerq Verified threshold of 70+.
Hva er Deepwiki Mcp og hvem vedlikeholder det?
| Utvikler | regenrek |
| Kategori | Infrastructure |
| Stjerner | 1,259 |
| Kilde | https://github.com/regenrek/deepwiki-mcp |
| Protocols | mcp |
Regulatorisk samsvar
| EU AI Act Risk Class | Not assessed |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Populære alternativer i infrastructure
Deepwiki Mcp på andre plattformer
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What Is Deepwiki Mcp?
Deepwiki Mcp is a software tool in the infrastructure category: 📖 MCP server for fetch deepwiki.com and get latest knowledge in Cursor and other Code Editors. It has 1,259 GitHub stars. Nerq Trust Score: 72/100 (B).
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 Deepwiki Mcp's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensjoner. Here is how Deepwiki Mcp performs in each:
- Vedlikehold (0/100): Deepwiki Mcp is potentially abandoned. We track commit frequency, release cadence, issue response times, and PR merge rates.
- Documentation (0/100): Documentation quality is insufficient. This includes README completeness, API dokumentasjon, usage examples, and contribution guidelines.
- Compliance (100/100): Deepwiki 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. Basert på GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 72.5/100 (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 Deepwiki Mcp?
Deepwiki 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: Deepwiki Mcp meets the minimum threshold for production use, but we recommend monitoring for sikkerhet advisories and keeping dependencies up to date. Consider implementing additional guardrails for sensitive workloads.
How to Verify Deepwiki 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 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 Deepwiki Mcp's dependency tree. - Anmeldelse permissions — Understand what access Deepwiki Mcp requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Deepwiki 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=deepwiki-mcp - Gjennomgå license — Confirm that Deepwiki 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 Deepwiki Mcp
When evaluating whether Deepwiki Mcp is safe, consider these category-specific risks:
Understand how Deepwiki Mcp processes, stores, and transmits your data. Gjennomgå tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Deepwiki Mcp's dependency tree for kjente sårbarheter. Tools with outdated or unmaintained dependencies pose a higher sikkerhet risk.
Regularly check for updates to Deepwiki Mcp. Sikkerhet patches and bug fixes are only effective if you're running the latest version.
If Deepwiki 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 Deepwiki 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 Deepwiki Mcp in violation of its license can expose your organization to legal liability.
Best Practices for Using Deepwiki Mcp Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Deepwiki Mcp while minimizing risk:
Periodically review how Deepwiki Mcp is used in your workflow. Check for unexpected behavior, permissions drift, and samsvar with your sikkerhet policies.
Ensure Deepwiki Mcp and all its dependencies are running the latest stable versions to benefit from sikkerhet patches.
Grant Deepwiki Mcp only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Deepwiki 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 Deepwiki Mcp is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Deepwiki Mcp?
Even well-trusted tools aren't right for every situation. Consider avoiding Deepwiki Mcp in these scenarios:
- Scenarios where Deepwiki Mcp's specific capabilities exceed your actual needs — simpler tools may be safer
- Air-gapped environments where the tool cannot receive sikkerhet updates
- Projects with strict regulatory requirements that haven't been explicitly validated
For each scenario, evaluate whether Deepwiki Mcp's trust score of 72.5/100 meets your organization's risk tolerance. The Nerq Verified status indicates general production readiness, but sector-specific requirements may apply.
How Deepwiki 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. Deepwiki Mcp's score of 72.5/100 is significantly above the category average of 62/100.
This places Deepwiki Mcp in the top tier of infrastructure tools that Nerq tracks. Tools scoring this far above average typically demonstrate mature sikkerhet practices, consistent release cadence, and broad fellesskapsadopsjon.
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 Deepwiki 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, Deepwiki 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 Deepwiki Mcp's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=deepwiki-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 Deepwiki Mcp are strengthening or weakening over time.
Deepwiki Mcp vs Alternativer
In the infrastructure category, Deepwiki Mcp scores 72.5/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Deepwiki Mcp vs langflow — Trust Score: 64.6/100
- Deepwiki Mcp vs dify — Trust Score: 64.0/100
- Deepwiki Mcp vs open-webui — Trust Score: 59.8/100
Viktigste punkter
- Deepwiki Mcp has a Trust Score of 72.5/100 (B) and is Nerq Verified.
- Deepwiki Mcp meets the minimum threshold for production deployment, though monitoring and additional guardrails are recommended.
- Among infrastructure tools, Deepwiki 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.
Ofte stilte spørsmål
Er Deepwiki Mcp trygt?
Hva er tillitspoengene til Deepwiki Mcp?
Hva er tryggere alternativer til Deepwiki Mcp?
Hvor ofte oppdateres Deepwiki Mcps sikkerhetspoeng?
Kan jeg bruke Deepwiki 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.