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.

Sikkerhetsanalyse → Deepwiki Mcp personvernrapport →

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.

Samsvar
100
Vedlikehold
0
Dokumentasjon
0
Popularitet
1

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+.

Vedlikehold: 0/100 — lav vedlikeholdsaktivitet
Samsvar: 100/100 — covers 52 of 52 jurisdictions
Dokumentasjon: 0/100 — begrenset dokumentasjon
Popularitet: 1/100 — 1,259 stjerner på mcp registry

Hva er Deepwiki Mcp og hvem vedlikeholder det?

Utviklerregenrek
KategoriInfrastructure
Stjerner1,259
Kildehttps://github.com/regenrek/deepwiki-mcp
Protocolsmcp

Regulatorisk samsvar

EU AI Act Risk ClassNot assessed
Compliance Score100/100
JurisdictionsAssessed across 52 jurisdictions

Populære alternativer i infrastructure

langflow-ai/langflow
64.6/100 · C+
github
langgenius/dify
64.0/100 · C+
github
open-webui/open-webui
59.8/100 · C
github
google-gemini/gemini-cli
71.8/100 · B
github
supabase/supabase
57.8/100 · C
github

Deepwiki Mcp på andre plattformer

Samme utvikler/selskap i andre registre:

@browser-echo/vite
56/100 · npm
mcp-deepwiki
48/100 · npm
codefetch
48/100 · npm
@browser-echo/next
48/100 · npm
viber3d
48/100 · npm

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:

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:

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:

  1. Check the source code — Gjennomgå repository sikkerhet policy, open issues, and recent commits for signs of active vedlikehold.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for kjente sårbarheter in Deepwiki Mcp's dependency tree.
  3. Anmeldelse permissions — Understand what access Deepwiki Mcp requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Deepwiki Mcp in a sandboxed environment before granting access to production data or systems.
  5. Monitor continuously — Use Nerq's API to set up automated trust checks: GET nerq.ai/v1/preflight?target=deepwiki-mcp
  6. 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.
  7. 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:

Data handling

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.

Dependency sikkerhet

Check Deepwiki Mcp's dependency tree for kjente sårbarheter. Tools with outdated or unmaintained dependencies pose a higher sikkerhet risk.

Update frequency

Regularly check for updates to Deepwiki Mcp. Sikkerhet patches and bug fixes are only effective if you're running the latest version.

Third-party integrations

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.

License and IP samsvar

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:

Conduct regular audits

Periodically review how Deepwiki Mcp is used in your workflow. Check for unexpected behavior, permissions drift, and samsvar with your sikkerhet policies.

Keep dependencies updated

Ensure Deepwiki Mcp and all its dependencies are running the latest stable versions to benefit from sikkerhet patches.

Follow least privilege

Grant Deepwiki Mcp only the minimum permissions it needs to function. Avoid granting admin or root access.

Monitor for sikkerhet advisories

Subscribe to Deepwiki Mcp's sikkerhet advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.

Document usage policies

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:

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:

Viktigste punkter

Ofte stilte spørsmål

Er Deepwiki Mcp trygt?
Ja, det er trygt å bruke. deepwiki-mcp har en Nerq-tillitspoeng på 72.5/100 (B). Sterkeste signal: samsvar (100/100). Poeng basert på Vedlikehold (0/100), Popularitet (1/100), Dokumentasjon (0/100).
Hva er tillitspoengene til Deepwiki Mcp?
deepwiki-mcp: 72.5/100 (B). Poeng basert på Vedlikehold (0/100), Popularitet (1/100), Dokumentasjon (0/100). Compliance: 100/100. Poeng oppdateres når nye data er tilgjengelige. API: GET nerq.ai/v1/preflight?target=deepwiki-mcp
Hva er tryggere alternativer til Deepwiki Mcp?
I kategorien Infrastructure, higher-rated alternatives include langflow-ai/langflow (65/100), langgenius/dify (64/100), open-webui/open-webui (60/100). deepwiki-mcp scores 72.5/100.
Hvor ofte oppdateres Deepwiki Mcps sikkerhetspoeng?
Nerq continuously monitors Deepwiki Mcp and updates its trust score as new data becomes available. Current: 72.5/100 (B), last verifisert 2026-07-16. API: GET nerq.ai/v1/preflight?target=deepwiki-mcp
Kan jeg bruke Deepwiki Mcp i et regulert miljø?
Deepwiki Mcp oppfyller Nerq-verifiseringsgrensen (70+). Trygt for produksjonsbruk.
API: /v1/preflight Trust Badge API Docs

Se også

Disclaimer: Nerqs tillitspoeng er automatiserte vurderinger basert på offentlig tilgjengelige signaler. De utgjør ikke anbefalinger eller garantier. Utfør alltid din egen verifisering.

Vi bruker informasjonskapsler for analyse og hurtiglagring. Personvern