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OpenAIMCP

by AceDataCloud
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Python
Remote

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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

    A4.1/5.0

    Scored across 11 tools

    Disambiguation4/5

    Most tools have distinct purposes (chat, embeddings, image generation, task management). The overlap between 'openai_chat_completion' and 'openai_create_response' introduces ambiguity, but descriptions clarify their specific use cases (standard vs. dated models/background processing).

    Naming Consistency5/5

    All tools follow a consistent 'openai_{verb}_{noun}' pattern (e.g., 'openai_create_embedding', 'openai_list_tasks'). The naming is predictable and adheres to a single convention.

    Tool Count5/5

    With 11 tools, the server covers the major OpenAI functionalities (chat, embeddings, image generation/editing, model listing, async tasks) without being bloated. The count feels well-scoped for a focused AI service.

    Completeness4/5

    The tool set covers core workflows (create, read, list) for chat, embeddings, and images, plus async task management. Minor gaps exist (e.g., no delete/moderation tools), but these are not critical for the server's stated purpose.

    Maintenance

    ActivityActive
    ResponsivenessUnresponsive

    Resources