@runapi.ai/flux-2-mcp
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TDQS
Scored across 5 tools
Each tool serves a distinct function: authentication, task status, pricing lookup, and two clearly separated image generation operations (remix vs. text-to-image). There is no overlap or ambiguity between tool purposes.
Most tool names follow a verb_noun pattern (login, get_task, check_pricing, remix_image), but text_to_image deviates by being a noun phrase rather than a verb_noun construction like create_text_to_image. The pattern is otherwise consistent and readable.
With 5 tools, the server is tightly scoped to the core workflow: authenticate, create two types of tasks, check task status, and look up pricing. This is a well-sized set with no redundant or unnecessary tools.
The tool surface covers the full lifecycle for a Flux-2 image generation service: setup (login), execution (remix_image and text_to_image), monitoring (get_task), and cost planning (check_pricing). There are no obvious gaps that would prevent an agent from completing common tasks.