A
licenseA
qualityD
maintenanceMCP server for AI image generation and editing using Google Gemini image models.
7
269
MIT
Gemini Nano Banana MCP
by seungmanchoi
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TDQS
A4/5.0
Scored across 10 tools
Disambiguation5/5
Each tool targets a distinct operation: configuration tools are separated by purpose (API key, Google login, model), image tools separate generation from editing and continuation, video tool stands alone, and info tools provide status and history without overlap.
Naming Consistency5/5
All tools follow a consistent verb_noun snake_case pattern (e.g., configure_api_key, generate_image, list_history). The only slight deviation is 'continue_editing' (gerund) but it still fits the verb+noun structure.
Tool Count5/5
The server covers configuration (3 tools), image generation/editing (3), video generation (1), and info retrieval (3) with a total of 10 tools. This is well-scoped for a Gemini AI media generation server without unnecessary bloat.
Completeness4/5
The tool surface covers the full lifecycle: configuration, generation, editing, and history. A minor gap is the lack of delete or management actions for generated media, but the core workflow is complete.
Maintenance
ActivityInactive
ResponsivenessNo issues