A
licenseC
qualityC
maintenanceEnables users to generate high-quality images using ModelScope's Qwen-Image model through natural language prompts. Supports async task processing with both image URL and base64 encoded data output options.
1
2
MIT
qwen-image-mcp
by yingcaihuang
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TDQS
A3.8/5.0
Scored across 4 tools
Disambiguation5/5
Each tool serves a unique, clearly distinct purpose: synchronous generation, async submission, status checking, and download. No functional overlap exists.
Naming Consistency5/5
All tool names follow a consistent verb_noun pattern (generate_image_*, check_task_status, download_image), making them predictable and easy to understand.
Tool Count5/5
Four tools perfectly cover the core image generation workflow (sync, async, polling, download) without excess or deficiency.
Completeness4/5
Core generation workflow is fully covered (sync, async, status, download). Minor gaps like task cancellation or listing are absent but not critical for basic usage.
Maintenance
ActivityMaintained
ResponsivenessNo issues