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Animagine MCP

by gabrielalmir
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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A4.2/5.0

    Scored across 8 tools

    Disambiguation5/5

    Each tool targets a distinct operation: prompt validation, optimization, explanation, model listing, checkpoint loading, LoRA unloading, text-to-image, and image-to-image. No two tools overlap in purpose, and the descriptions make the boundaries clear.

    Naming Consistency5/5

    All tools use a consistent verb_noun pattern in snake_case (validate_prompt, list_models, generate_image). The only slightly longer name is generate_image_from_image, but it follows the same convention clearly.

    Tool Count5/5

    Eight tools cover the core workflow of prompt preparation, model management, and generation. This is a well-scoped number that avoids unnecessary redundancy.

    Completeness4/5

    The server covers the main image generation workflow, including prompt handling and model configuration. Minor gaps exist, such as no explicit checkpoint unload tool, but list_models includes currently loaded state and unload_loras provides a reset path.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources