A
licenseB
qualityC
maintenanceExecution control layer for AI agents - Reserve, execute, burn/refund pattern for media generation
16
2
MIT
Media-infrastructure
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Eversince MCP Serverofficial
AlicenseNot gradedqualityBmaintenanceA creative agent that plans and executes across image, video, and audio. Uses 30+ tools, orchestrates 20+ AI models, and does agentic timeline editing.MIT
TDQS
B3.4/5.0
Scored across 16 tools
Disambiguation3/5
Most tools have distinct purposes, but there is notable overlap between get_operation and get_task, which both retrieve task/operation statuses, potentially causing confusion. Additionally, the three estimate_* tools are clearly differentiated by media type, but their naming and purpose similarity could lead to misselection if not carefully read.
Naming Consistency4/5
The naming is mostly consistent with a verb_noun pattern (e.g., generate_image, check_balance, list_tasks), but there are minor deviations like ai_edit (noun_verb) and background_remove (noun_verb). These inconsistencies are few and do not severely impact readability, but they break the overall pattern.
Tool Count4/5
With 16 tools, the count is reasonable for a media infrastructure server covering image, video, and music generation and editing, plus account management. It is slightly on the higher side but well within a manageable scope, as each tool serves a specific function in the domain.
Completeness4/5
The tool set provides good coverage for media generation and editing, including CRUD-like operations (generate, edit, upscale, list, get status) and cost estimation. However, there are minor gaps, such as no explicit tool for deleting tasks or managing media assets beyond generation and editing, which agents might need to work around.
Maintenance
ActivityInactive
ResponsivenessNo issues