MeiGen AI Design MCP
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TDQS
Scored across 18 tools
Four generation entry points (generate_image, generate_product_detail_images, generate_marketing_poster, generate_ai_background) target adjacent user intents, and the two polling tools check_generation vs check_skill require the agent to know which job type it created. Descriptions do differentiate them reasonably well (transparent cutout vs background replacement vs poster vs general image), but the boundaries are still easy to cross. The two upload helpers plus the 'local files can be passed directly' advice add further selection friction.
Every tool follows a consistent verb_noun snake_case pattern: generate_image, generate_video, check_generation, list_models, search_gallery, remove_background, upscale_image, upload_reference_media. No camelCase mixing or arbitrary noun-only names. The prefix families (generate_*, check_*, upload_*, list_*) reinforce the pattern.
18 tools is on the heavy side for a single image-generation service, and the surface splits into near-parallel tracks (generic generation vs 'skill' workflows, check_generation vs check_skill, upload_skill_image vs upload_reference_media). Each tool is individually defensible, but consolidation would reduce cognitive load. It is not excessive for the breadth of media types covered.
Core lifecycle is covered: discovery (list_models, list_skills, search_gallery, get_inspiration), prompt prep, generation across image/video/SVG/GIF/upscale/background removal, uploads, and status polling for both generations and skills. Gaps are minor: no cancel/delete or history-listing tool, and saved characters are explicitly only available on the remote OAuth path, not locally.