A
licenseNot graded
qualityC
maintenanceEnables AI image processing tools such as vectorization, background removal, upscaling, and logo generation from any MCP-compatible client like Claude Code or Cursor.
14 npm
MIT
Luw MCP Server
Officialby Luvi-io
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TDQS
A3.7/5.0
Scored across 21 tools
Disambiguation4/5
Most tools target distinct models/operations and the descriptions carefully draw boundaries (e.g. luw_edit_image vs luw_magic_wand, magic_wand for masked areas). However there is real overlap among luw_sketch_to_render, luw_render and luw_generate_image, and luw_run_model is a generic catch-all that overlaps every dedicated tool.
Naming Consistency4/5
All tools share a uniform luw_ prefix, and generate_* tools follow a clear pattern. There are minor deviations (magic_wand, background, segment are noun/verb fragments rather than verb_noun, and interior_design/exterior_design use noun_design), but the set remains readable and predictable.
Tool Count3/5
21 tools is on the heavy side for this surface, and several tools (luw_image_tools with 4 sub-actions, luw_personas with 11 actions, luw_projects with 12 actions) multiplex many operations each. The breadth of distinct AI models justifies much of it, but consolidation (e.g. merging sketch/render, or splitting bundled multi-action tools) would improve scoping.
Completeness4/5
Coverage is broad: generation, editing, segmentation, upscaling, 3D, video, personas, projects, result retrieval, option lookup and raw API access. Minor gaps exist (no history/listing of past generations, no credit/billing status, no deletion of individual generations), but core workflows have no dead ends.
Maintenance
ActivityNo data
ResponsivenessNo issues