@imageat/mcp
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TDQS
Scored across 4 tools
check_credits is clearly distinct. edit_image and generate_image could overlap, since generate_image supports reference images for image-to-image editing, but descriptions clarify that generate is text-prompt driven while edit uses specific feature IDs. Overall, boundaries are mostly clear.
All tools follow a consistent snake_case verb_noun pattern with the imageat_ prefix: check_credits, edit_image, generate_image, generate_video. The naming is predictable and uniform.
Four tools cover the core actions for an image/video generation and editing API: credit checking, image generation, image editing, and video generation. This is appropriately scoped with no redundancy.
The server covers the primary workflows: generating images and videos, editing images, and checking credits. A minor gap is the lack of a way to list available edit features, but agents can likely infer them from the documentation provided in the tool description.