A
licenseA
qualityC
maintenanceMCP server for AI image generation and editing using Google Gemini image models.
7
473 npm
MIT
nano-banana-mcp
by bartadaniel
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TDQS
A4.2/5.0
Scored across 3 tools
Disambiguation5/5
Each tool has a clearly distinct purpose: generating a new image, editing an existing image, and describing an image. There is no overlap or ambiguity between them.
Naming Consistency5/5
All tool names follow the consistent verb_noun pattern: generate_image, edit_image, describe_image. This makes the set highly predictable and easy to navigate.
Tool Count5/5
With 3 tools, the server is well-scoped for its purpose of image generation, editing, and analysis. Each tool earns its place and the count is appropriate for the domain.
Completeness5/5
The tool surface covers the core lifecycle of image handling: create (generate), modify (edit), and understand (describe). There are no obvious gaps for the stated purpose.
Maintenance
ActivityInactive
ResponsivenessNo issues