A
licenseA
qualityD
maintenanceMCP server for Google Gemini image generation with configurable model support, enabling text-to-image generation, image editing, and iterative refinement.
6
40
MIT
Sibyl
by hello-emrah
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TDQS
A3.7/5.0
Scored across 10 tools
Disambiguation5/5
Each tool targets a distinct modality or workflow stage: text, image, video, speech, embeddings, and research. The research trio (deep_research, research_get, research_followup) forms a clear lifecycle, and generate_image vs edit_image are clearly separated by creation vs modification.
Naming Consistency3/5
Names are descriptive but inconsistent in pattern: some are verb-first (generate_image, edit_image), some object-first (video_status, research_get), and others are single verbs (speak, embed). This mixing prevents a predictable convention, though the names remain readable.
Tool Count5/5
With 10 tools, the server is well-scoped for a multimodal AI toolkit covering text, image, video, speech, embeddings, and research. The count feels balanced and not bloated.
Completeness4/5
Core generation and editing are covered across all major modalities, plus embeddings and a full research workflow. Minor gaps exist, such as the absence of image/video understanding tools and music generation, but these are not essential for the primary purpose.
Maintenance
ActivityStale
ResponsivenessNo issues