GrokMCP
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TDQS
Scored across 8 tools
The core capabilities (chat, text-to-video, image-to-video) are clearly distinct, and get_task vs get_tasks_batch is unambiguous. The only mild overlap is between grok_list_actions and grok_list_models, which both serve as informational/discovery helpers, but their outputs differ enough to be told apart.
All tools use a consistent snake_case grok_ prefix with a predictable verb_noun structure (grok_get_task, grok_list_models, grok_text_to_video). grok_chat_completions is a slight outlier with a noun-only form, but the set is broadly uniform.
Eight tools is well-scoped for a chat-plus-video-generation service, with each tool covering a distinct operation (generation, task polling, batch polling, discovery). Nothing feels redundant or padded.
The surface covers the full generation lifecycle: model/prompt discovery, text and image video generation, and single/batch task status retrieval. Minor gaps exist such as no task cancellation or deletion, but core workflows are fully supported.