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AI API MCP Server

by physics91
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Python
Remote

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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

    C2.7/5.0

    Scored across 5 tools

    Disambiguation2/5

    analyze and generate both use AI models and could be confused with each other or with chat; their boundaries are unclear from names and descriptions, making it hard to predict which tool to use for tasks like summarization versus creation.

    Naming Consistency3/5

    Four tools use bare verbs (compare, analyze, chat, generate) while one uses a verb_noun pattern (list_models), creating a mixed convention that is readable but inconsistent.

    Tool Count4/5

    Five tools is reasonable for an AI API wrapper, covering core operations without excessive bloat, though it leans slightly thin given the breadth of possible AI interactions.

    Completeness3/5

    The surface covers listing, chatting, generating, analyzing, and comparing, but lacks key lifecycle operations such as getting provider quota or model details, and there is no explicit create/delete to round out CRUD.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources