@runapi.ai/gpt-image-2-mcp
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TDQS
Scored across 5 tools
Each tool has a clearly distinct role: login (auth), text_to_image and edit_image (task creation in two distinct modes), get_task (status/result retrieval), and check_pricing (billing lookup). The create-vs-fetch boundary between text_to_image/edit_image and get_task is unambiguous, and the two image modes are clearly separated.
All names use snake_case with a verb_noun or action-verb convention (get_task, edit_image, text_to_image, check_pricing, login). The style is uniform and predictable throughout, with 'login' being the only single-verb name but still in the same casing convention.
Five tools is well-scoped for an image-generation API wrapper: one for auth, two for the two generation modes, one for polling results, and one for pricing. Every tool earns its place with no redundancy or filler.
The core lifecycle (auth → create task → poll result) plus pricing is covered, which is the essential surface for this domain. Minor gaps exist: no way to list or cancel/delete prior tasks, and no logout/credential management, but agents can work around these.