क्या Mcp Server Confluence सुरक्षित है?
Mcp Server Confluence — Nerq Trust Score 59.0/100 (D ग्रेड). स्कोर आधारित 5 independent trust signals.
Mcp Server Confluence एक software tool है Nerq विश्वास स्कोर के साथ 59.0/100 (D), based on 5 स्वतंत्र डेटा आयाम. सुरक्षा: 0/100. रखरखाव: 1/100. लोकप्रियता: 0/100. डेटा स्रोत: पैकेज रजिस्ट्री, GitHub, NVD, OSV.dev और OpenSSF Scorecard सहित कई सार्वजनिक स्रोत. अंतिम अपडेट: n/a. मशीन पठनीय डेटा (JSON).
क्या Mcp Server Confluence सुरक्षित है?
विश्वास स्कोर विवरण — Mcp Server Confluence has a Nerq Trust Score of 59.0/100 (D). Measured across 5 independent trust signals.
Mcp Server Confluence का विश्वास स्कोर क्या है?
Mcp Server Confluence का Nerq Trust Score 59.0/100 है, ग्रेड D। यह स्कोर सुरक्षा, रखरखाव और सामुदायिक अपनाने सहित 5 स्वतंत्र रूप से मापे गए आयामों पर आधारित है।
Mcp Server Confluence के प्रमुख सुरक्षा निष्कर्ष क्या हैं?
Mcp Server Confluence का सबसे मजबूत संकेत अनुपालन है 100/100 पर। कोई ज्ञात भेद्यता नहीं पाई गई।
Mcp Server Confluence क्या है और इसका रखरखाव कौन करता है?
| डेवलपर | Coratch |
| श्रेणी | Devops |
| स्रोत | https://github.com/Coratch/mcp-server-confluence |
| Frameworks | anthropic |
| Protocols | mcp · rest |
नियामक अनुपालन
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
devops में लोकप्रिय विकल्प
What Is Mcp Server Confluence?
Mcp Server Confluence is a DevOps tool: 基于 Python + FastMCP 的 Confluence MCP 服务器，提供通过 MCP 协议访问 Confluence API 的能力。. Nerq Trust Score: 59/100 (D).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including सुरक्षा vulnerabilities, रखरखाव activity, license अनुपालन, and सामुदायिक स्वीकृति.
How Nerq Assesses Mcp Server Confluence's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five आयाम. Here is how Mcp Server Confluence performs in each:
- सुरक्षा (0/100): Mcp Server Confluence's सुरक्षा posture is poor. This score factors in known CVEs, dependency vulnerabilities, सुरक्षा policy presence, and code signing practices.
- रखरखाव (1/100): Mcp Server Confluence 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 दस्तावेज़ीकरण, usage examples, and contribution guidelines.
- Compliance (100/100): Mcp Server Confluence is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. आधारित GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 59.0/100 (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 Mcp Server Confluence?
Mcp Server Confluence 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: Mcp Server Confluence's measured signals (सुरक्षा 0/100, रखरखाव 1/100, दस्तावेज़ीकरण 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 Mcp Server Confluence's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — जांचें repository's सुरक्षा policy, open issues, and recent commits for signs of active रखरखाव.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Mcp Server Confluence's dependency tree. - समीक्षा permissions — Understand what access Mcp Server Confluence requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Mcp Server Confluence 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-server-confluence - जांचें license — Confirm that Mcp Server Confluence'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 सुरक्षा concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Mcp Server Confluence
When evaluating whether Mcp Server Confluence is safe, consider these category-specific risks:
Understand how Mcp Server Confluence processes, stores, and transmits your data. जांचें tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Mcp Server Confluence's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher सुरक्षा risk.
Regularly check for updates to Mcp Server Confluence. सुरक्षा patches and bug fixes are only effective if you're running the latest version.
If Mcp Server Confluence 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 Server Confluence'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 Server Confluence in violation of its license can expose your organization to legal liability.
Mcp Server Confluence and the EU AI Act
Mcp Server Confluence 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 अनुपालन assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal अनुपालन.
Best Practices for Using Mcp Server Confluence Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Mcp Server Confluence while minimizing risk:
Periodically review how Mcp Server Confluence is used in your workflow. Check for unexpected behavior, permissions drift, and अनुपालन with your सुरक्षा policies.
Ensure Mcp Server Confluence and all its dependencies are running the latest stable versions to benefit from सुरक्षा patches.
Grant Mcp Server Confluence only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Mcp Server Confluence's सुरक्षा advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Mcp Server Confluence is used within your organization, including data handling guidelines and acceptable use cases.
Situations That Warrant Independent Review of Mcp Server Confluence
Nerq's signals are one input. In the following situations, evaluate Mcp Server Confluence'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 Server Confluence's measured trust score of 59.0/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Mcp Server Confluence is suitable for any particular use.
How Mcp Server Confluence 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. Mcp Server Confluence's score of 59.0/100 is near the category average of 63/100.
This places Mcp Server Confluence 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 मध्यम 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 Server Confluence 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 रखरखाव patterns change, Mcp Server Confluence'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 सुरक्षा and quality. Conversely, a downward trend may signal reduced रखरखाव, growing technical debt, or unresolved vulnerabilities. To track Mcp Server Confluence's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=mcp-server-confluence&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 — सुरक्षा, रखरखाव, दस्तावेज़ीकरण, अनुपालन, and community — has evolved independently, providing granular visibility into which aspects of Mcp Server Confluence are strengthening or weakening over time.
Mcp Server Confluence vs विकल्प
In the devops category, Mcp Server Confluence scores 59.0/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Mcp Server Confluence vs ansible — Trust Score: 74.9/100
- Mcp Server Confluence vs Flowise — Trust Score: 67.5/100
- Mcp Server Confluence vs learn-claude-code — Trust Score: 72.1/100
मुख्य निष्कर्ष
- Mcp Server Confluence has a measured Nerq Trust Score of 59.0/100 (D) — a composite of independent signals, not a suitability judgment.
- Among DevOps tools, Mcp Server Confluence scores near the category average of 63/100 (a positional measurement relative to peers).
- The individual signals — सुरक्षा, रखरखाव, दस्तावेज़ीकरण, अनुपालन, community — are shown above. Weigh them against your own requirements.
- Query the current measured values via Nerq's Preflight API.
अक्सर पूछे जाने वाले प्रश्न
क्या Mcp Server Confluence सुरक्षित है?
Mcp Server Confluence का विश्वास स्कोर क्या है?
Mcp Server Confluence के अधिक सुरक्षित विकल्प क्या हैं?
Mcp Server Confluence का सुरक्षा स्कोर कितनी बार अपडेट होता है?
क्या मैं विनियमित वातावरण में Mcp Server Confluence उपयोग कर सकता हूँ?
यह भी देखें
Disclaimer: Nerq विश्वास स्कोर सार्वजनिक रूप से उपलब्ध संकेतों पर आधारित स्वचालित मूल्यांकन हैं। ये सिफारिश या गारंटी नहीं हैं। हमेशा अपना स्वयं का सत्यापन करें।