Deepy MCP Server
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TDQS
Scored across 9 tools
Each tool targets a distinct step in the AI generation workflow: model discovery, schema lookup, prompt refinement, file upload, cost estimation, paid creation, status polling, result retrieval, and top-up navigation. There is no overlap or ambiguity between them.
All tool names share the 'deepy_' prefix and follow a consistent verb_noun pattern (list_models, get_model, improve_prompt, upload_file, estimate_generation, create_generation, get_generation, get_result, open_topup_page). The naming is uniform and predictable.
With 9 tools, the server is well-scoped for the domain of AI media generation. Each tool covers a necessary step in the process, and the count feels neither excessive nor sparse.
The toolset covers the full generation lifecycle: model exploration, prompt enhancement, file upload, cost estimation, creation, status tracking, result retrieval, and credit top-up. No critical operations are missing for the stated purpose.