A
licenseNot graded
qualityD
maintenancePowerful image generation system leveraging multiple Stable Diffusion models (flux-schnell, flux-dev, sdxl, sd3, sd15) for creating high-quality AI-generated images with precise customization.
20
MIT
FluxMCP
by AceDataCloud
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TDQS
A4.3/5.0
Scored across 6 tools
Disambiguation5/5
Each tool targets a distinct operation: generate vs edit, list models vs list tools, and single vs batch task queries. The cross-references in descriptions further reduce any chance of misselection.
Naming Consistency5/5
All tools follow the consistent pattern of `flux_` prefix plus verb_noun (generate_image, list_models, get_task, etc.). The naming style is uniform and predictable across the entire set.
Tool Count5/5
Six tools is well-scoped for an image generation and editing server, covering the core operations without unnecessary bloat. Each tool adds clear value to the workflow.
Completeness4/5
The core lifecycle of generating/editing images and retrieving results is well covered, along with model discovery. A minor gap is the lack of a task cancellation tool, but this is not essential for typical usage.
Maintenance
ActivitySlowing
ResponsivenessUnresponsive