Skip to main content
Glama
ailingqu

APIAny MCP Server

by ailingqu
OverviewSchemaSourceRelated ServersDiscussionsAdmin
JavaScript
Remote

Related Servers

Alternatives to APIAny MCP Server

No user-submitted related servers found.

    Related Servers

    • APIAny MCP

      ailingqu
      -
      license
      Not graded
      quality
      Not graded
      maintenance
      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.
      -

    • SandBase MCP Bridge

      ewa619
      A
      license
      Not graded
      quality
      A
      maintenance
      Enables supported AI clients to discover, inspect, and execute 2,000+ models and APIs, including free data APIs and paid LLM, image, video, and audio calls, with OAuth, pricing checks, and rollback.
      556,724 npm
      MIT

    • Index9 MCP Server

      index9-org
      A
      license
      A
      quality
      F
      maintenance
      Provides AI assistants with real-time access to 1000+ AI models including their latest pricing, context windows, capabilities, and specifications. Supports model search, comparison, recommendations, and live testing.
      3
      61 npm
      1
      MIT
    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