jimeng-ai-mcp
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TDQS
Scored across 9 tools
Each tool targets a distinct media generation or editing task: text-to-image, image-to-image, inpainting, upscaling, text-to-video, image-to-video, motion imitation, digital human creation, and video translation. There is no meaningful overlap between these operations.
All tool names use a consistent lowercase_snake_case convention with a clear verb_noun or transformation pattern (generate_image, inpaint_image, image_to_video, translate_video). The two image_to_* names follow a predictable transformation pattern, making the set uniform and intuitive.
With 9 tools, the server is well-scoped for an AI media generation platform. Each tool covers a distinct capability without redundancy, and the count falls comfortably within the ideal 3-15 range.
The tool surface covers the core media generation lifecycle: image creation/editing/upscaling, video generation from text or images, motion transfer, digital humans, and video translation. Minor gaps like audio generation or task management are not critical for the stated purpose, but the set is quite comprehensive.