Is Mcp Server Atlassian Confluence Safe?

Is Mcp Server Atlassian Confluence safe?

CAUTION — Mcp Server Atlassian Confluence has a Nerq Trust Score of 56.3/100 (D). It has moderate trust signals but shows some areas of concern that warrant attention. Suitable for development use — review security and maintenance signals before production deployment.

What Is Mcp Server Atlassian Confluence?

Mcp Server Atlassian Confluence is a software tool in the infrastructure category: Node.js/TypeScript MCP server for Atlassian Confluence. Provides tools enabling AI systems (LLMs) to list/get spaces & pages (content formatted as Markdown) and search via CQL. Connects AI seamlessly to Confluence knowledge bases using the standard MCP in. Nerq Trust Score: 56/100 (D).

Nerq independently analyzes every software tool, app, and extension across multiple trust signals including security vulnerabilities, maintenance activity, license compliance, and community adoption.

How Nerq Assesses Mcp Server Atlassian Confluence's Safety

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

• Maintenance (0/100): Mcp Server Atlassian Confluence 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 documentation, usage examples, and contribution guidelines.
• Compliance (100/100): Mcp Server Atlassian 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. Based on GitHub stars, forks, download counts, and ecosystem integrations.

The overall Trust Score of 56.3/100 (D) 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 Mcp Server Atlassian Confluence?

Mcp Server Atlassian Confluence is designed for:

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

Risk guidance: Mcp Server Atlassian Confluence is suitable for development and testing environments. Before production deployment, conduct a thorough review of its security posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.

How to Verify Mcp Server Atlassian Confluence's Safety Yourself

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

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

Common Safety Concerns with Mcp Server Atlassian Confluence

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

Best Practices for Using Mcp Server Atlassian Confluence Safely

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

When Should You Avoid Mcp Server Atlassian Confluence?

Even promising tools aren't right for every situation. Consider avoiding Mcp Server Atlassian Confluence in these scenarios:

• Production environments handling sensitive customer data
• Regulated industries (healthcare, finance, government) without additional compliance review
• Mission-critical systems where downtime has significant business impact

For each scenario, evaluate whether Mcp Server Atlassian Confluence's trust score of 56.3/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.

How Mcp Server Atlassian Confluence 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. Mcp Server Atlassian Confluence's score of 56.3/100 is near the category average of 62/100.

This places Mcp Server Atlassian Confluence in line with the typical infrastructure 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 moderate 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 Atlassian 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 maintenance patterns change, Mcp Server Atlassian 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 security and quality. Conversely, a downward trend may signal reduced maintenance, growing technical debt, or unresolved vulnerabilities. To track Mcp Server Atlassian Confluence's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=@aashari/mcp-server-atlassian-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 — security, maintenance, documentation, compliance, and community — has evolved independently, providing granular visibility into which aspects of Mcp Server Atlassian Confluence are strengthening or weakening over time.

Mcp Server Atlassian Confluence vs Alternatives

In the infrastructure category, Mcp Server Atlassian Confluence scores 56.3/100. There are higher-scoring alternatives available. For a detailed comparison, see:

• Mcp Server Atlassian Confluence vs n8n — Trust Score: 52.2/100
• Mcp Server Atlassian Confluence vs langflow — Trust Score: 66.1/100
• Mcp Server Atlassian Confluence vs dify — Trust Score: 65.5/100

Key Takeaways

• Mcp Server Atlassian Confluence has a Trust Score of 56.3/100 (D) and is not yet Nerq Verified.
• Mcp Server Atlassian Confluence shows moderate trust signals. Conduct thorough due diligence before deploying to production environments.
• Among infrastructure tools, Mcp Server Atlassian Confluence 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.