A
licenseNot graded
qualityD
maintenanceUniversal MCP server for all Kie AI image generation and editing models, enabling text-to-image, image-to-image, and image editing via natural language.
57 npm
2
MIT
kie-mcp
by elibarnett
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TDQS
B3.2/5.0
Scored across 46 tools
Disambiguation3/5
Many tools have overlapping purposes (e.g. generate_tts vs generate_gemini_tts vs generate_dialogue, generate_sfx vs generate_sounds, add_vocals vs add_instrumental vs cover_audio), but the descriptions explicitly differentiate models, use cases, and output types. An agent must read carefully, but selection is usually possible.
Naming Consistency4/5
Mostly consistent snake_case with verb_noun patterns (generate_music, create_omni_voice, list_models), though some are noun-first (audio_isolation, profile_brief) or model-prefixed (veo_upscale_1080p, grok_segment_map). These are minor deviations from an otherwise predictable convention.
Tool Count2/5
46 tools is far above the 3-15 well-scoped range; even for a broad multi-modal platform, the set is heavy and contains many model-specific variants that could be consolidated into fewer parameterized tools. It is not extreme enough for a 1, but it is clearly too many.
Completeness4/5
The surface covers image, video, music, TTS, voice cloning, stem separation, format conversion, and task/credit utilities, so core workflows are well supported. Minor gaps like asset deletion/cleanup and task cancellation exist but are unlikely to block most agent workflows.
Maintenance
ActivityActive
ResponsivenessResponsive