A
licenseNot graded
qualityB
maintenanceGenerates and edits images using OpenAI image models via MCP tools.
MIT
imagengen
by danton721
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TDQS
A3.9/5.0
Scored across 3 tools
Disambiguation5/5
The three tools are clearly distinct: one lists available providers, one does text-to-image generation, and one does image-to-image editing/transformation. The descriptions make it obvious which tool to use for each task, and the coverage of providers in each is well documented.
Naming Consistency3/5
The naming pattern is inconsistent: 'list_image_providers' uses snake_case with a verb_noun pattern, while 'text-to-image' and 'image-to-image' use a hyphenated adjective-noun naming convention that describes the task rather than an action. The latter two don't follow a verb-leading pattern.
Tool Count4/5
Three tools is a compact, well-scoped set that covers the core capabilities of an image generation server: discovery/configuration, generation, and editing. It's on the lean side but appropriate for the narrow domain; each tool serves a distinct and necessary purpose.
Completeness3/5
The server covers the primary workflows (discover providers, generate, edit). However, there are notable gaps: no tool to view/retrieve generated images or their metadata, no batch generation, no image style/variation features, and no way to delete or manage saved images. The core generate/edit flows work but retrieval and management are missing.
Maintenance
ActivityStale
ResponsivenessNo issues