❓ Rovo Q&A Highlights: Top Contributors & Issues ❓

[#1]

Thank you to everyone contributing during a period marked by rapid growth in Rovo adoption, expanding MCP usage, increased experimentation with agents and automation, and growing interest in governance, observability, and enterprise-scale deployment.

🌟 Top Contributors

(the official leaderboard is back!)

🏅 @Arkadiusz Wroblewski  — taking over the first spot, providing guidance across MCP, agents, troubleshooting, platform behavior, and adoption questions.

🏅 @Rebekka Heilmann _viadee_  — a leading voice in agent capabilities, governance, implementation considerations, and practical Rovo usage.

🏅 @Tomislav Tobijas — frequently assists with activation, administration, licensing, integrations, and onboarding challenges.

🏅 @Alexander Nilsson — contributes solutions across Rovo configuration, troubleshooting, and usage scenarios.

🏅 @Ajay _view26_ — provides support on implementation questions and emerging Rovo use cases.

Key Themes

MCP Adoption Continues to Grow

The Atlassian Remote MCP Server remains one of the most discussed topics. Users are actively connecting Atlassian data to Claude and other AI clients while exploring production use cases.

Common discussions include:

• OAuth and authentication issues
• MCP reliability and connectivity
• Jira and Confluence write limitations
• Attachment and image access
• Feature requests for expanded capabilities

Agents: Great at Reasoning, Less Reliable for Execution

A recurring lesson is that agents perform best when used for:

• Summarization
• Drafting
• Knowledge discovery
• Information synthesis

Users continue to encounter challenges when relying on agents for calculations, workflow execution, reporting, or other deterministic tasks.

Images, Attachments, and Content Access

Many questions centered around:

• Images not being analyzed consistently
• Embedded images in PDFs, DOCX, and XLSX files
• Attachment access through MCP
• Differences between expected and current multimodal capabilities

This remains one of the most requested enhancement areas.

Governance, Credits, and Visibility

As adoption increases, organizations are asking more questions about:

• Credit consumption
• Agent performance
• Usage visibility
• Governance controls
• Measuring AI value and ROI

Many teams are moving beyond experimentation and focusing on sustainable adoption.

Platform Stability and Support

Several discussions involved:

• Authentication failures
• Activation and licensing confusion
• Automation errors
• UI inconsistencies
• Intermittent platform behavior

Many of these issues ultimately require Atlassian Support due to limited customer-facing diagnostics.

Expectations Are Maturing

A clear pattern has emerged. Successful teams increasingly use:

• Rovo for reasoning and drafting
• Automation for execution
• APIs for deterministic operations
• Human review for validation

This hybrid approach is becoming the most reliable deployment model and aligns more closely with the platform's current strengths.

💡 How You Can Help Keep the Community Strong

• Search first; your question may already be asked & answered
• Upvote helpful answers so the best solutions rise to the top
• Accept answers once resolved—so others can quickly find what worked

As always, thank you for your curiosity, patience, experimentation, and willingness to help others. Every question, accepted answer, and shared workaround helps the ecosystem learn faster and adopt Rovo more effectively. 💙

This post marks the end of the Q’s I’ve reviewed in this round.