Er Code Executor Mcp sikker?
Code Executor Mcp — Nerq Trust Score 60.2/100 (Karakter C). Baseret på analyse af 5 tillidsdimensioner vurderes det som generelt sikkert men med visse bekymringer. Sidst opdateret: 2026-04-24.
Brug Code Executor Mcp med forsigtighed. Code Executor Mcp er en software tool med en Nerq Tillidsscore på 60.2/100 (C), based on 5 uafhængige datadimensioner. Under Nerqs verificerede tærskel Sikkerhed: 0/100. Vedligeholdelse: 1/100. Popularitet: 0/100. Data hentet fra flere offentlige kilder herunder pakkeregistre, GitHub, NVD, OSV.dev og OpenSSF Scorecard. Sidst opdateret: 2026-04-24. Maskinlæsbare data (JSON).
Er Code Executor Mcp sikker?
CAUTION — Code Executor Mcp has a Nerq Trust Score of 60.2/100 (C). Har moderat tillidssignaler, men viser nogle bekymrende områder that warrant attention. Suitable for development use — review sikkerhed and vedligeholdelse signals before production deployment.
Hvad er Code Executor Mcps tillidsscore?
Code Executor Mcp har en Nerq Trust Score på 60.2/100 med karakteren C. Denne score er baseret på 5 uafhængigt målte dimensioner, herunder sikkerhed, vedligeholdelse og community-adoption.
Hvad er de vigtigste sikkerhedsresultater for Code Executor Mcp?
Code Executor Mcps stærkeste signal er overholdelse på 100/100. Ingen kendte sårbarheder er fundet. It has not yet reached the Nerq Verified threshold of 70+.
Hvad er Code Executor Mcp og hvem vedligeholder det?
| Udvikler | Muhumuree |
| Kategori | Coding |
| Kilde | https://github.com/Muhumuree/code-executor-MCP |
| Protocols | mcp |
Lovgivningsmæssig overholdelse
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Populære alternativer i coding
What Is Code Executor Mcp?
Code Executor Mcp is a software tool in the coding category: Code Executor MCP efficiently manages and executes code, reducing token usage.. Nerq Trust Score: 60/100 (C).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including sikkerhed vulnerabilities, vedligeholdelse activity, license overholdelse, and fællesskabsadoption.
How Nerq Assesses Code Executor Mcp's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensioner. Here is how Code Executor Mcp performs in each:
- Sikkerhed (0/100): Code Executor Mcp's sikkerhed posture is poor. This score factors in known CVEs, dependency vulnerabilities, sikkerhed policy presence, and code signing practices.
- Vedligeholdelse (1/100): Code Executor 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 dokumentation, usage examples, and contribution guidelines.
- Compliance (100/100): Code Executor 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. Baseret på GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 60.2/100 (C) reflects the weighted combination of these signals. This is below the Nerq Verified threshold of 70. We recommend additional due diligence before production deployment.
Who Should Use Code Executor Mcp?
Code Executor Mcp is designed for:
- Developers and teams working with coding tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Code Executor Mcp is suitable for development and testing environments. Before production deployment, conduct a thorough review of its sikkerhed posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.
How to Verify Code Executor Mcp's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Gennemgå repository sikkerhed policy, open issues, and recent commits for signs of active vedligeholdelse.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Code Executor Mcp's dependency tree. - Anmeldelse permissions — Understand what access Code Executor Mcp requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Code Executor 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=code-executor-MCP - Gennemgå license — Confirm that Code Executor 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 sikkerhed concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Code Executor Mcp
When evaluating whether Code Executor Mcp is safe, consider these category-specific risks:
Understand how Code Executor Mcp processes, stores, and transmits your data. Gennemgå tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Code Executor Mcp's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher sikkerhed risk.
Regularly check for updates to Code Executor Mcp. Sikkerhed patches and bug fixes are only effective if you're running the latest version.
If Code Executor 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 Code Executor 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 Code Executor Mcp in violation of its license can expose your organization to legal liability.
Code Executor Mcp and the EU AI Act
Code Executor 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 overholdelse assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal overholdelse.
Best Practices for Using Code Executor Mcp Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Code Executor Mcp while minimizing risk:
Periodically review how Code Executor Mcp is used in your workflow. Check for unexpected behavior, permissions drift, and overholdelse with your sikkerhed policies.
Ensure Code Executor Mcp and all its dependencies are running the latest stable versions to benefit from sikkerhed patches.
Grant Code Executor Mcp only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Code Executor Mcp's sikkerhed advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Code Executor Mcp is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Code Executor Mcp?
Even promising tools aren't right for every situation. Consider avoiding Code Executor Mcp in these scenarios:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional overholdelse review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether Code Executor Mcp's trust score of 60.2/100 meets your organization's risk tolerance. We recommend running a manual sikkerhed assessment alongside the automated Nerq score.
How Code Executor Mcp Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among coding tools, the average Trust Score is 62/100. Code Executor Mcp's score of 60.2/100 is near the category average of 62/100.
This places Code Executor Mcp in line with the typical coding 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 Code Executor 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 vedligeholdelse patterns change, Code Executor 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 sikkerhed and quality. Conversely, a downward trend may signal reduced vedligeholdelse, growing technical debt, or unresolved vulnerabilities. To track Code Executor Mcp's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=code-executor-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 — sikkerhed, vedligeholdelse, dokumentation, overholdelse, and community — has evolved independently, providing granular visibility into which aspects of Code Executor Mcp are strengthening or weakening over time.
Code Executor Mcp vs Alternativer
In the coding category, Code Executor Mcp scores 60.2/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Code Executor Mcp vs AutoGPT — Trust Score: 74.7/100
- Code Executor Mcp vs ollama — Trust Score: 73.8/100
- Code Executor Mcp vs langchain — Trust Score: 71.3/100
Vigtigste pointer
- Code Executor Mcp has a Trust Score of 60.2/100 (C) and is not yet Nerq Verified.
- Code Executor Mcp shows moderat trust signals. Conduct thorough due diligence before deploying to production environments.
- Among coding tools, Code Executor Mcp scores near the category average of 62/100, suggesting room for improvement relative to peers.
- Always verify safety independently — use Nerq's Preflight API for automated, up-to-date trust checks before integration.
Detaljeret scoreanalyse
| Dimension | Score |
|---|---|
| Sikkerhed | 0/100 |
| Vedligeholdelse | 1/100 |
| Popularitet | 0/100 |
Baseret på 3 dimensioner. Data from flere offentlige kilder herunder pakkeregistre, GitHub, NVD, OSV.dev og OpenSSF Scorecard.
Hvilke data indsamler Code Executor Mcp?
Privatliv assessment for Code Executor Mcp is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.
Er Code Executor Mcp sikker?
Sikkerhed score: 0/100. Review sikkerhed practices and consider alternatives with higher sikkerhed scores for sensitive use cases.
Nerq overvåger denne enhed mod NVD, OSV.dev og registrespecifikke sårbarhedsdatabaser til løbende sikkerhedsvurdering.
Fuld analyse: Code Executor Mcp sikkerhedsrapport
Sådan beregnede vi denne score
Code Executor Mcp's trust score of 60.2/100 (C) beregnes ud fra flere offentlige kilder herunder pakkeregistre, GitHub, NVD, OSV.dev og OpenSSF Scorecard. Scoren afspejler 3 uafhængige dimensioner: sikkerhed (0/100), vedligeholdelse (1/100), popularitet (0/100). Hver dimension vægtes ens for at producere den samlede tillidsscore.
Nerq analyserer over 7,5 millioner enheder i 26 registre med samme metodik, hvilket muliggør direkte sammenligning mellem enheder. Scorer opdateres løbende, efterhånden som nye data bliver tilgængelige.
Denne side blev sidst gennemgået den April 24, 2026. Dataversion: 1.0.
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Disclaimer: Nerqs tillidsscorer er automatiserede vurderinger baseret på offentligt tilgængelige signaler. De udgør ikke anbefalinger eller garantier. Foretag altid din egen verificering.