Är Deepwiki Mcp säker?
Deepwiki Mcp — Nerq Trust Score 72.5/100 (Betyg B). Baserat på analys av 4 tillitsdimensioner bedöms det som generellt säkert men med vissa farhågor. Senast uppdaterad: 2026-07-16.
Ja, Deepwiki Mcp är säker att använda. Deepwiki Mcp är en programvara (📖 MCP server for fetch deepwiki) med ett Nerq-förtroendepoäng på 72.5/100 (B), baserat på 4 oberoende datadimensioner. Rekommenderas för användning. Underhåll: 0/100. Popularitet: 1/100. Data hämtad från flera offentliga källor inklusive paketregister, GitHub, NVD, OSV.dev och OpenSSF Scorecard. Senast uppdaterad: 2026-07-16. Maskinläsbar data (JSON).
Är Deepwiki Mcp säker?
YES — Deepwiki Mcp has a Nerq Trust Score of 72.5/100 (B). Uppfyller Nerqs förtroendetröskel med starka signaler inom säkerhet, underhåll och communityanvändning. Rekommenderas för användning — se hela rapporten nedan för specifika överväganden.
Vad är Deepwiki Mcps förtroendepoäng?
Deepwiki Mcp har ett Nerq-förtroendepoäng på 72.5/100 med betyget B. Denna poäng baseras på 4 oberoende mätta dimensioner inklusive säkerhet, underhåll och communityanvändning.
Vilka är de viktigaste säkerhetsresultaten för Deepwiki Mcp?
Deepwiki Mcps starkaste signal är regelefterlevnad på 100/100. Inga kända sårbarheter har upptäckts. Uppfyller Nerqs verifieringströskel på 70+.
Vad är Deepwiki Mcp och vem underhåller det?
| Utvecklare | regenrek |
| Kategori | Infrastruktur |
| Stjärnor | 1,259 |
| Källa | https://github.com/regenrek/deepwiki-mcp |
| Protocols | mcp |
Regelefterlevnad
| EU AI Act Risk Class | Not assessed |
| Compliance Score | 100/100 |
| Jurisdiktions | Assessed across 52 jurisdiktions |
Populära alternativ inom infrastructure
Deepwiki Mcp på andra plattformar
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What Is Deepwiki Mcp?
Deepwiki Mcp is a programvara 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-stjärnor. Nerq Trust Score: 72/100 (B).
Nerq independently analyzes every programvara, app, and extension across multiple trust signals including säkerhet vulnerabilities, underhåll activity, license regelefterlevnad, and communityanvändning.
How Nerq Assesses Deepwiki Mcp's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensioner. Here is how Deepwiki Mcp performs in each:
- Underhåll (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 dokumentation, usage examples, and contribution guidelines.
- Compliance (100/100): Deepwiki Mcp is broadly compliant. Assessed against regulations in 52 jurisdiktions including the EU AI Act, CCPA, and GDPR.
- Community (1/100): Community adoption is limited. Baserad på GitHub-stjärnor, 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 säkerhet 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 programvara:
- Check the source code — Granska repository säkerhet policy, open issues, and recent commits for signs of active underhåll.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Deepwiki Mcp's dependency tree. - Recension 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 - Granska 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 säkerhet 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. Granska tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Deepwiki Mcp's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher säkerhet risk.
Regularly check for updates to Deepwiki Mcp. Säkerhet 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 regelefterlevnad with your säkerhet policies.
Ensure Deepwiki Mcp and all its dependencies are running the latest stable versions to benefit from säkerhet patches.
Grant Deepwiki Mcp only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Deepwiki Mcp's säkerhet 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 säkerhet 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 programvaras, 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 säkerhet practices, consistent release cadence, and broad communityanvändning.
Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks måttlig 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 underhåll 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 säkerhet and quality. Conversely, a downward trend may signal reduced underhåll, 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 — säkerhet, underhåll, dokumentation, regelefterlevnad, and community — has evolved independently, providing granular visibility into which aspects of Deepwiki Mcp are strengthening or weakening over time.
Deepwiki Mcp vs Alternativ
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
Viktigaste slutsatser
- 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.
Vanliga frågor
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Disclaimer: Nerqs förtroendepoäng är automatiserade bedömningar baserade på offentligt tillgängliga signaler. De utgör inte rekommendationer eller garantier. Gör alltid din egen verifiering.