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@genoooool/mcp-image-generator

by genoooool

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    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI assistants in any MCP client to generate new images or edit existing ones by turning short requests into detailed prompts with configurable quality presets. Supports Gemini, OpenAI GPT Image, and BytePlus Seedream providers, saving results to disk and returning them as MCP resources.
      932 npm
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    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI assistants in MCP clients to generate and edit images by automatically expanding short requests into detailed prompts with composition, lighting, and camera direction, then saving results to disk. Supports Gemini, OpenAI, and BytePlus Seedream providers with selectable quality presets, aspect ratios, and image sizes.
      932 npm
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables generating and editing images from any MCP client by expanding short requests into detailed visual prompts, then saving the results to disk and returning them as resources. Supports Gemini, OpenAI GPT Image, and BytePlus Seedream with quality presets, aspect ratios, up to 4K output, and options for character consistency and Google Search grounding.
      932 npm
      MIT

    TDQS

    A3.6/5.0

    Scored across 1 tool

    Disambiguation5/5

    With only one tool, there is no possibility of confusion between tools. The single tool's purpose is clear and distinct.

    Naming Consistency5/5

    The only tool uses a clear verb_noun pattern (generate_image), and since there are no other tools, the naming is internally consistent.

    Tool Count3/5

    A single tool is borderline thin for a server even with a narrow purpose like image generation. While it covers the core action, agents might expect additional utilities such as provider listing or status checks.

    Completeness4/5

    The tool covers the primary domain action—generating an image—with support for multiple providers via configuration. Minor gaps exist, such as no way to query available models or provider details, but core generation is fully addressed.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues