A
licenseNot graded
qualityD
maintenanceEnables AI-powered image generation and editing using Gemini and Imagen models, supporting text-to-image, image editing, and multi-image composition through MCP tools.
MIT
nanobanana-mcp
by amit-y11
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TDQS
A3.9/5.0
Scored across 6 tools
Disambiguation5/5
Each tool has a clearly distinct purpose: generate vs edit operate on different inputs/outputs, list_models and list_templates target different resource types, render_template produces a prompt while generate_image/edit_image consume it, and auth_status is uniquely diagnostic. No pair of tools appears to do the same thing.
Naming Consistency4/5
Five of six names follow a readable verb_noun snake_case pattern (generate_image, edit_image, list_models, list_templates, render_template). auth_status is a minor deviation as a noun_noun, but remains clear and consistent in casing style.
Tool Count5/5
Six tools is well-scoped for an image generation/editing server with model selection, templates, and auth diagnostics. Each tool earns its place, and the set avoids both thinness and bloat.
Completeness4/5
The core lifecycle is covered: generating, editing, listing models, listing/rendering templates, and checking auth. Minor gaps include no explicit tool for history, batch operations, or inspecting saved outputs, but these are workable around or outside the server's core scope.
Maintenance
ActivityMaintained
ResponsivenessNo issues