A
licenseA
qualityD
maintenanceEnables image generation, editing, and analysis using Google's Gemini 2.5 Flash and Gemini 3 Pro models, with support for batch processing, style templates, and high-resolution output.
8
546 npm
1
MIT
Gemini Image MCP Server
by antoniolg
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TDQS
A3.5/5.0
Scored across 2 tools
Disambiguation5/5
The two tools have clearly distinct purposes: generate_image creates new images from text descriptions, while edit_image modifies existing images based on text instructions. The descriptions explicitly differentiate them and even cross-reference when to use each, eliminating any potential confusion.
Naming Consistency5/5
Both tools follow a consistent verb_noun pattern (generate_image, edit_image) with clear action verbs that accurately describe their functions. The naming is perfectly uniform and predictable across the tool set.
Tool Count3/5
With only 2 tools, this server feels somewhat thin for an image generation/editing domain. While the tools cover the core operations, additional functionality like image analysis, format conversion, or batch processing might be expected but are absent, making the scope borderline minimal.
Completeness4/5
For a basic image AI server, the tools cover the essential create and modify operations well. However, there are minor gaps such as no direct image analysis or metadata tools, and the reliance on external paths for images might limit some workflows, though agents can generally work around these limitations.
Maintenance
ActivityInactive
ResponsivenessNo issues