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Gemini Imagen 3.0 MCP Server

by falahgs

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      Generates and edits images using OpenAI GPT Image or Google Gemini models, saving every result to disk and returning local file paths so AI assistants can continue working with the images. It enables prompt-based image creation, editing, inpainting, multi-image composition, and model listing through MCP tools.
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    TDQS

    B3.2/5.0

    Scored across 2 tools

    Disambiguation5/5

    The two tools have completely distinct purposes: generate_images creates new images via AI, while create_image_html produces HTML img tags from existing file paths. There is no overlap or ambiguity between them.

    Naming Consistency4/5

    Both tool names follow a verb_noun pattern (generate_images and create_image_html). The verbs 'generate' and 'create' are similar but not identical, and the nouns differ in structure (plural vs. compound), but the overall pattern is consistent and readable.

    Tool Count3/5

    With only 2 tools, the server feels somewhat thin. While the scope is narrow (image generation and HTML formatting), this is borderline on the low end; a small utility set would benefit from at least one additional tool for managing or inspecting generated images.

    Completeness3/5

    The core workflow of generating images and then creating HTML for viewing is covered, but there are notable gaps: no way to list, delete, or manage previously generated images, and no tool to adjust model parameters beyond what might be embedded in generate_images. This limits the server to a single-generation flow.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues