A
licenseA
qualityD
maintenanceEnables AI image generation and editing using Google's Gemini models via natural language, supporting multi-turn editing, search grounding, storyboards, icon sets, and video-to-image.
5
9 npm
1
MIT
Nano Banana MCP Server
by mikeroussell
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TDQS
A4.2/5.0
Scored across 4 tools
Disambiguation5/5
Each tool has a distinct and well-defined purpose: compose_images combines multiple reference images, edit_image modifies a single image, generate_image creates from text, and list_models provides metadata. The descriptions clearly differentiate their scopes, with no overlap or ambiguity in functionality.
Naming Consistency5/5
All tool names follow a consistent snake_case pattern with the prefix 'nanobanana_' and a clear verb_noun structure (e.g., compose_images, edit_image, generate_image, list_models). This uniformity makes the set predictable and easy to navigate.
Tool Count5/5
With 4 tools, this server is well-scoped for image generation and editing tasks. Each tool serves a unique and essential function in the workflow, from listing models to creating, editing, and composing images, without being overly sparse or bloated.
Completeness4/5
The tool set covers core image operations: generation, editing, composition, and model listing. Minor gaps might include batch processing or advanced filtering, but the surface supports typical agent workflows effectively, with no dead ends in the image manipulation lifecycle.
Maintenance
ActivityInactive
ResponsivenessNo issues