F
licenseA
qualityD
maintenanceAn MCP server that allows users to generate, edit, and create variations of images through OpenAI's DALL-E API, supporting both DALL-E 2 and DALL-E 3 models.
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9
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vynly-mcp
by Vovala14
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TDQS
A4.6/5.0
Scored across 10 tools
Disambiguation5/5
Each tool maps to a distinct resource/action: post variants are separated by permanence and media type (spark vs image vs video), feeds are separated by scope (all posts vs video-only), and engagement verbs target different objects (follow user, like/comment post). Overlaps are explicitly cross-referenced in descriptions, leaving little room for misselection.
Naming Consistency5/5
All tools use a consistent vynly_ prefix and snake_case verb_noun/action pattern (post_image, read_feed, delete_post, follow). Single-verb tools like like/comment/follow are still predictable within the set.
Tool Count5/5
10 tools cover posting, reading, searching, and engagement for a social platform without obvious bloat or thinness. Each tool appears to earn its place.
Completeness4/5
Core lifecycle is covered: publish (image/video/spark), read feeds, search, follow, like, comment, delete own post. Minor gaps remain, notably no caption-edit tool (manual PATCH documented) and no standalone comment retrieval, but agents can work around them.
Maintenance
ActivityNo data
ResponsivenessNo issues