invokeai-mcp
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TDQS
Scored across 13 tools
Each tool targets a distinct domain (queue, gallery, models, generation, workflows, boards, system), and the operation-based tools (invokeai_generate, invokeai_queue) are clearly separated. Minor overlap exists between show_invokeai_dashboard_card and invokeai_system (both report health/version), but descriptions mitigate confusion.
Naming is inconsistent: four tools use a 'show_invokeai_*_card' pattern while the rest use bare 'invokeai_*' nouns with operation parameters. Some tools are verb-like (invokeai_help, invokeai_shutdown), others are noun-objects (invokeai_gallery, invokeai_boards), making the pattern unpredictable.
13 tools is well within the ideal range for a server covering a rich creative domain. Each tool addresses a distinct area (generation, queueing, model management, gallery, workflows, system), and the card-based display tools serve as convenient views rather than redundant functionality.
Core workflows are well covered: generation includes txt2img, img2img, inpaint, and upscale; queue handles lifecycle and result retrieval; models support CRUD; gallery and boards manage images; workflows have full CRUD. Minor gaps exist (e.g., no explicit single-image delete outside 'manage' operations, and no batch generation interface), but agents can accomplish tasks without major dead ends.