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    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables assistants in any MCP client to generate new images or edit existing ones, automatically enriching short requests with composition, lighting, and camera details before sending them to Gemini, OpenAI, or BytePlus Seedream. Supports quality presets, aspect ratios, image sizes, character consistency, blended inputs, and Google Search grounding for current information.
      1,984 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.
      1,984 npm
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables any MCP client to create and edit images from natural-language requests, automatically enriching short prompts with composition, lighting, and camera details while supporting Gemini, OpenAI, and BytePlus Seedream with fast, balanced, or quality presets.
      1,984 npm
      MIT

    TDQS

    A3.7/5.0

    Scored across 38 tools

    Disambiguation4/5

    Most tools target clearly distinct operations (inpaint vs. remix vs. reframe vs. replace_background), and descriptions carefully explain differences. Some overlap exists among editing tools (precise_edit, inpaint, edit alias) and mask semantics differ (black vs. white), but descriptions mostly resolve it.

    Naming Consistency4/5

    Names follow a consistent snake_case verb_noun or verb_object pattern (ideogram_generate, ideogram_remove_background, ideogram_video_text). A few are noun-only (ideogram_operations, ideogram_invoices, ideogram_models), which is a minor deviation but still readable.

    Tool Count2/5

    38 tools is heavy for a single server, especially with a meta-tool ideogram_api that could cover advanced cases. The count reflects an attempt to curate every Ideogram endpoint, which makes the surface harder to navigate.

    Completeness5/5

    The surface covers generation, editing, video, background, upscaling, training, datasets, billing, operations discovery, and an escape hatch via ideogram_api. Lifecycle operations (create, quote, collect, list, train) are well represented with no obvious dead ends.

    Maintenance

    ActivityMaintained
    ResponsivenessUnresponsive