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Design, edit, and report web app issues through MCP to coding agents.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "convey" yet — see the docs or source repo.
Review the current web app homepage layout, change the primary button to brand blue, increase the heading size, and simplify the header navigation; send these requested changes to the coding agent via MCP.
A clear UI change specification is produced and sent to the coding agent for implementation.
Inspect the login form in the web app, document the issue where clicking submit does nothing, include reproduction steps, expected behavior, and actual behavior, then send it to the coding agent via MCP for fixing.
A structured bug report is created and the fix request is passed to the coding agent.
Review the main pages of this web app, identify usability and visual consistency issues, prioritize the improvement suggestions, and distribute them to the coding agent through MCP.
A prioritized improvement checklist is produced for efficient implementation.
Set up and manage conversion tracking through AI chat assistance.
Enable AI coding agents to communicate, share state, and coordinate work in real time.
Read, write, search, and manage Confluence content through MCP tools.
Search and retrieve Confluence pages for knowledge lookup and teamwork.
Automate Conveyor tasks via Rube MCP after checking current tool schemas.
Monitor Codex sessions, summarize status, and manage tmux-based automated continuation.