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APIAny MCP Server

by ailingqu
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    • APIAny MCP

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      Enables discovery of public AI models with pricing, documentation context, and OpenAI-compatible integration examples. Supports both read-only queries and paid async media generation tasks.
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    • Index9 MCP Server

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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

    B3.3/5.0

    Scored across 10 tools

    Disambiguation5/5

    All tools have clearly distinct purposes: image/video task creation, cost estimation, documentation retrieval, model lookup, usage examples, task status, listing, and searching. No overlap is evident.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern with underscores (e.g., create_image_task, list_models). Verbs like create, get, list, search are used uniformly, and naming conventions are fully consistent.

    Tool Count5/5

    With 10 tools, the set is well-scoped for an API abstraction layer. It covers discovery (list, search), details (get_model, get_model_usage), cost estimation, task creation (image/video), status checking, and documentation—each tool earns its place.

    Completeness4/5

    The tool surface covers key workflows: model discovery, cost estimation, async task creation and status checking. Minor gaps include lack of task cancellation or listing, but these are non-essential for core usage, so it's nearly complete.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources