A
licenseA
qualityD
maintenanceMCP server for AI-powered media generation: images, videos, audio, and upscaling using 99 AI models.
6
MIT
media-mcp
Officialby avclabs
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TDQS
B3.4/5.0
Scored across 4 tools
Disambiguation2/5
The first three tools are about video enhancement tasks with overlapping functionality (create_task and enhance_video_sync both appear to initiate enhancement), and the fourth tool (sam3_predict) is for image segmentation, a completely different domain. The descriptions are not clear enough to distinguish which tool to use for a given task, causing confusion.
Naming Consistency3/5
Tool names partially follow a verb_noun pattern (create_task, get_task_status), but 'enhance_video_sync' is awkward and 'sam3_predict' mixes model name with verb, introducing inconsistency.
Tool Count4/5
With 4 tools, the count is reasonable for a focused server, but the server actually combines two unrelated capabilities (video enhancement and image segmentation), making the scope unclear but the number itself is not extreme.
Completeness2/5
For video enhancement, there are create, sync enhance, and status query, but missing cancel, list, or delete operations. For image segmentation, only a single predict tool exists. The surface is incomplete for both domains.
Maintenance
ActivityMaintained
ResponsivenessNo issues