@textile-designer-ai/mcp
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AlicenseAqualityBmaintenanceLets Claude Desktop, Claude Code, or any MCP client generate ad images and videos from chat, including batches from folders of local files, prompt lists, and pipelines. Sign-in uses an OAuth device flow with workspace-scoped, revocable tokens, and finished creatives can be saved back to your machine.1625 npmMIT- AlicenseNot gradedqualityFmaintenanceEnables AI image processing tools such as vectorization, background removal, upscaling, and logo generation from any MCP-compatible client like Claude Code or Cursor.4 npmMIT
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TDQS
Scored across 39 tools
Several overlapping clusters exist—image enhancement (td_ready_to_print, td_super_scaler, td_anti_blur), design generation (td_design_generation, td_design_creation), layering (td_object_layering, td_colour_layering, td_channeling), and colour variant tools—so an agent could misselect. The detailed 'Best for' descriptions help mitigate confusion, but boundaries are not always crisp.
Nearly all tools use snake_case, with a clear td_ prefix for design tools and no prefix for system/account tools. However, spelling is inconsistent between British 'colour' (td_colour_layering, td_colourways) and American 'color' (td_color_transfer, td_color_matching_*), and the naming mixes verb and noun styles.
39 tools is well above the 3–15 range for a well-scoped server and exceeds the 25+ threshold for 'too many'. Although each tool represents a distinct design operation, the sheer breadth creates a heavy selection burden for an agent.
The surface covers a wide range of textile design workflows: generation, enhancement, colour manipulation, layering, separation, print prep, and spec boards, plus auth, job, and documentation tools. Minor gaps exist (e.g., no explicit job cancellation or job listing), but agents can work around these via job_status and other tools.