A
licenseNot graded
qualityD
maintenanceAn MCP server that provides image generation using Google's Nano Banana Gemini models, with additional tools for background removal, upscaling, and format conversion via deterministic post-processing.
1
MIT
mcp-alphabanana
by tasopen
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TDQS
A4.4/5.0
Scored across 1 tool
Disambiguation5/5
With a single tool there is no possibility of misselection; generate_image has one unambiguous purpose. The extensive guidance distinguishes modes and parameters rather than competing tools, so no disambiguation burden is placed on the agent.
Naming Consistency5/5
generate_image follows a clear verb_noun snake_case pattern. There are no other names to conflict with, so consistency is trivially satisfied and readable.
Tool Count3/5
A one-tool surface is thin for what is effectively a full image-generation service with multiple models, resolutions, reference handling, and resize modes. Much of that surface is expressed through parameters and documentation rather than discoverable tools, making the count borderline.
Completeness4/5
Core generation is well covered: model choice, resolution, aspect ratio, transparency, reference images, and resize behavior are all parameterized. Minor gaps exist around ancillary operations such as editing/upscaling existing assets or programmatically listing available models, which are only described in prose guidance.
Maintenance
ActivityMaintained
ResponsivenessUnresponsive