Is Mcp Manifold veilig?
Mcp Manifold — Nerq Trust Score 61.4/100 (C-beoordeling). Score gebaseerd op 5 independent trust signals.
Mcp Manifold is een software tool met een Nerq Vertrouwensscore van 61.4/100 (C), based on 5 onafhankelijke gegevensdimensies. Beveiliging: 0/100. Onderhoud: 1/100. Populariteit: 0/100. Gegevens afkomstig van meerdere openbare bronnen waaronder pakketregisters, GitHub, NVD, OSV.dev en OpenSSF Scorecard. Laatst bijgewerkt: n/a. Machineleesbare gegevens (JSON).
Is Mcp Manifold veilig?
Vertrouwensscore details — Mcp Manifold has a Nerq Trust Score of 61.4/100 (C). Measured across 5 independent trust signals.
Wat is de vertrouwensscore van Mcp Manifold?
Mcp Manifold heeft een Nerq Trust Score van 61.4/100 met het cijfer C. Deze score is gebaseerd op 5 onafhankelijk gemeten dimensies, waaronder beveiliging, onderhoud en community-adoptie.
Wat zijn de belangrijkste beveiligingsbevindingen voor Mcp Manifold?
Het sterkste signaal van Mcp Manifold is naleving met 82/100. Er zijn geen bekende kwetsbaarheden gedetecteerd.
Wat is Mcp Manifold en wie onderhoudt het?
| Ontwikkelaar | chestnutforty |
| Categorie | Finance |
| Bron | https://github.com/chestnutforty/mcp-manifold |
| Protocols | mcp · rest |
Naleving van regelgeving
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 82/100 |
| Jurisdictions | Assessed across 52 jurisdicties |
Populaire alternatieven in finance
What Is Mcp Manifold?
Mcp Manifold is a software tool in the finance category: MCP server for Manifold Markets prediction platform. Nerq Trust Score: 61/100 (C).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including beveiliging vulnerabilities, onderhoud activity, license naleving, and gemeenschapsacceptatie.
How Nerq Assesses Mcp Manifold's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensies. Here is how Mcp Manifold performs in each:
- Beveiliging (0/100): Mcp Manifold's beveiliging posture is poor. This score factors in known CVEs, dependency vulnerabilities, beveiliging policy presence, and code signing practices.
- Onderhoud (1/100): Mcp Manifold 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 documentatie, usage examples, and contribution guidelines.
- Compliance (82/100): Mcp Manifold is broadly compliant. Assessed against regulations in 52 jurisdicties including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. Gebaseerd op GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 61.4/100 (C) 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 Mcp Manifold?
Mcp Manifold is commonly evaluated by:
- Developers and teams working with finance tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
How to read the signals: Mcp Manifold's measured signals (beveiliging 0/100, onderhoud 1/100, documentatie 0/100, 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 Mcp Manifold's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Bekijk de repository's beveiliging policy, open issues, and recent commits for signs of active onderhoud.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Mcp Manifold's dependency tree. - Beoordeling permissions — Understand what access Mcp Manifold requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Mcp Manifold 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=mcp-manifold - Bekijk de license — Confirm that Mcp Manifold'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 beveiliging concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Mcp Manifold
When evaluating whether Mcp Manifold is safe, consider these category-specific risks:
Understand how Mcp Manifold processes, stores, and transmits your data. Bekijk de tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Mcp Manifold's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher beveiliging risk.
Regularly check for updates to Mcp Manifold. Beveiliging patches and bug fixes are only effective if you're running the latest version.
If Mcp Manifold 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 Mcp Manifold's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Mcp Manifold in violation of its license can expose your organization to legal liability.
Mcp Manifold and the EU AI Act
Mcp Manifold 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 naleving assessment covers 52 jurisdicties worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal naleving.
Best Practices for Using Mcp Manifold Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Mcp Manifold while minimizing risk:
Periodically review how Mcp Manifold is used in your workflow. Check for unexpected behavior, permissions drift, and naleving with your beveiliging policies.
Ensure Mcp Manifold and all its dependencies are running the latest stable versions to benefit from beveiliging patches.
Grant Mcp Manifold only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Mcp Manifold's beveiliging advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Mcp Manifold is used within your organization, including data handling guidelines and acceptable use cases.
Situations That Warrant Independent Review of Mcp Manifold
Nerq's signals are one input. In the following situations, evaluate Mcp Manifold'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 Mcp Manifold's measured trust score of 61.4/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Mcp Manifold is suitable for any particular use.
How Mcp Manifold Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among finance tools, the average Trust Score is 62/100. Mcp Manifold's score of 61.4/100 is near the category average of 62/100.
This places Mcp Manifold in line with the typical finance 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 matig 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 Mcp Manifold 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 onderhoud patterns change, Mcp Manifold'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 beveiliging and quality. Conversely, a downward trend may signal reduced onderhoud, growing technical debt, or unresolved vulnerabilities. To track Mcp Manifold's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=mcp-manifold&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 — beveiliging, onderhoud, documentatie, naleving, and community — has evolved independently, providing granular visibility into which aspects of Mcp Manifold are strengthening or weakening over time.
Mcp Manifold vs Alternatieven
In the finance category, Mcp Manifold scores 61.4/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Mcp Manifold vs OpenBB — Trust Score: 69.3/100
- Mcp Manifold vs qlib — Trust Score: 81.8/100
- Mcp Manifold vs TradingAgents — Trust Score: 78.5/100
Belangrijkste conclusies
- Mcp Manifold has a measured Nerq Trust Score of 61.4/100 (C) — a composite of independent signals, not a suitability judgment.
- Among finance tools, Mcp Manifold scores near the category average of 62/100 (a positional measurement relative to peers).
- The individual signals — beveiliging, onderhoud, documentatie, naleving, community — are shown above. Weigh them against your own requirements.
- Query the current measured values via Nerq's Preflight API.
Veelgestelde vragen
Is Mcp Manifold veilig?
Wat is de vertrouwensscore van Mcp Manifold?
Wat zijn veiligere alternatieven voor Mcp Manifold?
Hoe vaak wordt de beveiligingsscore van Mcp Manifold bijgewerkt?
Kan ik Mcp Manifold gebruiken in een gereguleerde omgeving?
Zie ook
Disclaimer: Nerq-vertrouwensscores zijn geautomatiseerde beoordelingen op basis van openbaar beschikbare signalen. Ze vormen geen aanbeveling of garantie. Voer altijd uw eigen verificatie uit.