Apakah Graphiti Mcp Server Aman?

Apakah Graphiti Mcp Server Aman?

Rincian Skor Kepercayaan — Graphiti Mcp Server has a Nerq Trust Score of 64.6/100 (C). Measured across 5 independent trust signals.

What Is Graphiti Mcp Server?

Graphiti Mcp Server is a software tool in the infrastructure category: A minimal template for running an MCP server with authentication, Neo4J integration, and containerization.. Nerq Trust Score: 65/100 (C).

Nerq independently analyzes every software tool, app, and extension across multiple trust signals including keamanan vulnerabilities, pemeliharaan activity, license kepatuhan, and adopsi komunitas.

How Nerq Assesses Graphiti Mcp Server's Safety

Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensi. Here is how Graphiti Mcp Server performs in each:

• Keamanan (0/100): Graphiti Mcp Server's keamanan posture is poor. This score factors in known CVEs, dependency vulnerabilities, keamanan policy presence, and code signing practices.
• Pemeliharaan (1/100): Graphiti 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 dokumentasi, usage examples, and contribution guidelines.
• Compliance (100/100): Graphiti 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. Berdasarkan GitHub stars, forks, download counts, and ecosystem integrations.

The overall Trust Score of 64.6/100 (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 Graphiti Mcp Server?

Graphiti Mcp Server is commonly evaluated by:

• Developers and teams working with infrastructure tools
• Organizations evaluating AI tools for their stack
• Researchers exploring AI capabilities in this domain

How to read the signals: Graphiti Mcp Server's measured signals (keamanan 0/100, pemeliharaan 1/100, dokumentasi 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 Graphiti Mcp Server's Safety Yourself

While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:

1. Check the source code — Tinjau repository's keamanan policy, open issues, and recent commits for signs of active pemeliharaan.
2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in Graphiti Mcp Server's dependency tree.
3. Ulasan permissions — Understand what access Graphiti Mcp Server requires. Software tools should follow the principle of least privilege.
4. Test in isolation — Run Graphiti Mcp Server 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=graphiti-mcp-server
6. Tinjau license — Confirm that Graphiti 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.
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 keamanan concerns openly. Low community engagement may indicate limited peer review of the codebase.

Common Safety Concerns with Graphiti Mcp Server

When evaluating whether Graphiti Mcp Server is safe, consider these category-specific risks:

Graphiti Mcp Server and the EU AI Act

Graphiti 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 kepatuhan assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal kepatuhan.

Best Practices for Using Graphiti Mcp Server Safely

Whether you're an individual developer or an enterprise team, these practices will help you get the most from Graphiti Mcp Server while minimizing risk:

Situations That Warrant Independent Review of Graphiti Mcp Server

Nerq's signals are one input. In the following situations, evaluate Graphiti 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 Graphiti Mcp Server's measured trust score of 64.6/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Graphiti Mcp Server is suitable for any particular use.

How Graphiti Mcp Server 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. Graphiti Mcp Server's score of 64.6/100 is above the category average of 62/100.

This positions Graphiti Mcp Server favorably among infrastructure tools. While it outperforms the average, there is still room for improvement in certain trust dimensi.

Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks sedang 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 Graphiti 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 pemeliharaan patterns change, Graphiti 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 keamanan and quality. Conversely, a downward trend may signal reduced pemeliharaan, growing technical debt, or unresolved vulnerabilities. To track Graphiti Mcp Server's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=graphiti-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 — keamanan, pemeliharaan, dokumentasi, kepatuhan, and community — has evolved independently, providing granular visibility into which aspects of Graphiti Mcp Server are strengthening or weakening over time.

Graphiti Mcp Server vs Alternatif

In the infrastructure category, Graphiti Mcp Server scores 64.6/100. There are higher-scoring alternatives available. For a detailed comparison, see:

• Graphiti Mcp Server vs n8n — Trust Score: 73.1/100
• Graphiti Mcp Server vs langflow — Trust Score: 64.6/100
• Graphiti Mcp Server vs dify — Trust Score: 64.0/100

Kesimpulan Utama

• Graphiti Mcp Server has a measured Nerq Trust Score of 64.6/100 (C) — a composite of independent signals, not a suitability judgment.
• Among infrastructure tools, Graphiti Mcp Server scores above the category average of 62/100 (a positional measurement relative to peers).
• The individual signals — keamanan, pemeliharaan, dokumentasi, kepatuhan, community — are shown above. Weigh them against your own requirements.
• Query the current measured values via Nerq's Preflight API.