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tokenhub-aigc-model

tokenhub-aigc-model

by willsygao
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Hybrid

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    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

    A4.1/5.0

    Scored across 2 tools

    Disambiguation5/5

    The two tools have clearly distinct purposes: one generates an image purely from text, while the other edits/generates from 1-16 input images with optional masking. There is no realistic confusion between them.

    Naming Consistency5/5

    Both tools follow the same tokenhub_<verb>_image pattern with static verb prefixes: edit and generate. The naming convention is consistent and predictable.

    Tool Count4/5

    With only two tools, the server is slightly thin, but each tool covers a distinct core task in the image-generation domain. The focused scope makes the small count reasonable.

    Completeness4/5

    The two primary workflows—text-to-image generation and image editing/reinpainting—are covered, and the synchronous design avoids needing result-status tools. A minor gap is the lack of model-list or capability-discovery tooling, but agents can still complete the core tasks.

    Maintenance

    ActivityStale
    ResponsivenessNo recent community issues

    Resources