Tp Mcp Server è sicuro?
Tp Mcp Server — Nerq Trust Score 57.2/100 (Grado D). Punteggio basato su 5 independent trust signals.
Tp Mcp Server è un software tool con un Punteggio di fiducia Nerq di 57.2/100 (D), based on 5 dimensioni di dati indipendenti. Sicurezza: 0/100. Manutenzione: 1/100. Popolarità: 0/100. Dati provenienti da molteplici fonti pubbliche tra cui registri di pacchetti, GitHub, NVD, OSV.dev e OpenSSF Scorecard. Ultimo aggiornamento: n/a. Dati leggibili dalle macchine (JSON).
Tp Mcp Server è sicuro?
Dettagli punteggio di fiducia — Tp Mcp Server has a Nerq Trust Score of 57.2/100 (D). Measured across 5 independent trust signals.
Qual è il punteggio di fiducia di Tp Mcp Server?
Tp Mcp Server ha un Nerq Trust Score di 57.2/100 con voto D. Questo punteggio si basa su 5 dimensioni misurate indipendentemente, tra cui sicurezza, manutenzione e adozione della community.
Quali sono i risultati di sicurezza chiave per Tp Mcp Server?
Il segnale più forte di Tp Mcp Server è conformità a 100/100. Non sono state rilevate vulnerabilità note.
Cos'è Tp Mcp Server e chi lo mantiene?
| Autore | timofei-ponomarev |
| Categoria | Devops |
| Stelle | 2 |
| Fonte | https://github.com/timofei-ponomarev/tp-mcp-server |
| Protocols | mcp · rest |
Conformità normativa
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Alternative popolari in devops
What Is Tp Mcp Server?
Tp Mcp Server is a DevOps tool: A simple MCP server for Target Process project management and agile planning.. It has 2 GitHub stars. Nerq Trust Score: 57/100 (D).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including sicurezza vulnerabilities, manutenzione activity, license conformità, and adozione della comunità.
How Nerq Assesses Tp Mcp Server's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensioni. Here is how Tp Mcp Server performs in each:
- Sicurezza (0/100): Tp Mcp Server's sicurezza posture is poor. This score factors in known CVEs, dependency vulnerabilities, sicurezza policy presence, and code signing practices.
- Manutenzione (1/100): Tp Mcp Server 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 documentazione, usage examples, and contribution guidelines.
- Compliance (100/100): Tp Mcp Server is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. Basato su GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 57.2/100 (D) 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 Tp Mcp Server?
Tp Mcp Server is commonly evaluated by:
- Developers and teams working with devops tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
How to read the signals: Tp Mcp Server's measured signals (sicurezza 0/100, manutenzione 1/100, documentazione 1/100, 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 Tp Mcp Server's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Controlla repository's sicurezza policy, open issues, and recent commits for signs of active manutenzione.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Tp Mcp Server's dependency tree. - Recensione permissions — Understand what access Tp Mcp Server requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Tp Mcp Server 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=tp-mcp-server - Controlla license — Confirm that Tp Mcp Server'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 sicurezza concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Tp Mcp Server
When evaluating whether Tp Mcp Server is safe, consider these category-specific risks:
Understand how Tp Mcp Server processes, stores, and transmits your data. Controlla tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Tp Mcp Server's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher sicurezza risk.
Regularly check for updates to Tp Mcp Server. Sicurezza patches and bug fixes are only effective if you're running the latest version.
If Tp Mcp Server 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 Tp Mcp Server's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Tp Mcp Server in violation of its license can expose your organization to legal liability.
Tp Mcp Server and the EU AI Act
Tp Mcp Server 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 conformità assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal conformità.
Best Practices for Using Tp Mcp Server Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Tp Mcp Server while minimizing risk:
Periodically review how Tp Mcp Server is used in your workflow. Check for unexpected behavior, permissions drift, and conformità with your sicurezza policies.
Ensure Tp Mcp Server and all its dependencies are running the latest stable versions to benefit from sicurezza patches.
Grant Tp Mcp Server only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Tp Mcp Server's sicurezza advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Tp Mcp Server is used within your organization, including data handling guidelines and acceptable use cases.
Situations That Warrant Independent Review of Tp Mcp Server
Nerq's signals are one input. In the following situations, evaluate Tp Mcp Server'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 Tp Mcp Server's measured trust score of 57.2/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Tp Mcp Server is suitable for any particular use.
How Tp Mcp Server Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among DevOps tools, the average Trust Score is 63/100. Tp Mcp Server's score of 57.2/100 is near the category average of 63/100.
This places Tp Mcp Server in line with the typical DevOps 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 moderato 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 Tp Mcp Server 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 manutenzione patterns change, Tp Mcp Server'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 sicurezza and quality. Conversely, a downward trend may signal reduced manutenzione, growing technical debt, or unresolved vulnerabilities. To track Tp Mcp Server's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=tp-mcp-server&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 — sicurezza, manutenzione, documentazione, conformità, and community — has evolved independently, providing granular visibility into which aspects of Tp Mcp Server are strengthening or weakening over time.
Tp Mcp Server vs Alternative
In the devops category, Tp Mcp Server scores 57.2/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Tp Mcp Server vs ansible — Trust Score: 74.9/100
- Tp Mcp Server vs Flowise — Trust Score: 67.5/100
- Tp Mcp Server vs learn-claude-code — Trust Score: 72.1/100
Punti chiave
- Tp Mcp Server has a measured Nerq Trust Score of 57.2/100 (D) — a composite of independent signals, not a suitability judgment.
- Among DevOps tools, Tp Mcp Server scores near the category average of 63/100 (a positional measurement relative to peers).
- The individual signals — sicurezza, manutenzione, documentazione, conformità, community — are shown above. Weigh them against your own requirements.
- Query the current measured values via Nerq's Preflight API.
Domande frequenti
Tp Mcp Server è sicuro?
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Vedi anche
Disclaimer: I punteggi di fiducia Nerq sono valutazioni automatizzate basate su segnali disponibili pubblicamente. Non costituiscono raccomandazioni o garanzie. Effettua sempre la tua verifica personale.