aihub-mcp
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TDQS
Scored across 14 tools
Every tool has a clearly distinct purpose. Generation tools are separated by media type (audio, document, image, video), analysis is separate, task management tools differentiate polling (get_task) from blocking (wait_for_task), and other utilities (embeddings, credits, file upload, model listing) are unique.
All tools follow a consistent verb_noun snake_case pattern: analyze_media, ask_model, create_embeddings, etc. No mixed conventions or abbreviations.
14 tools is an appropriate count for a multimodal AI hub. It covers key functionalities without being bloated or sparse.
The tool set is comprehensive: media analysis, model querying, embeddings, generation (audio, document, image, video), file upload/download, task management, credits, and model discovery. No obvious gaps for the intended domain.