autoflow-mcp
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TDQS
Scored across 11 tools
Each tool targets a distinct action: status, generation, queue management, troubleshooting, and inspection. The only slight overlap is between clear_queue and cancel, but they differ in scope (clearing all pending vs. canceling any running/queued job). All others are clearly separated.
Tools follow a consistent 'autoflow_' prefix with verb-noun patterns like get_recent_assets, clear_queue, and capture_screenshot. However, 'autoflow_status' uses a noun instead of a verb, and there's a mix of 'get_' and 'list_' prefixes, which is a minor deviation.
11 tools is well-scoped for a specialized server focused on AI generation management in Google Flow. Each tool covers a distinct need without redundancy, and the count feels appropriate for the domain.
The tool surface covers the core lifecycle: generation, queue inspection/control, troubleshooting (heal/reload), and visual verification (screenshot). Minor gaps exist like asset management or project editing, but the essential workflows are complete.