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BrewMyTech

Grok MCP Server

by BrewMyTech

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    TDQS

    B3.4/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose with no overlap: create_chat_completion and create_completion handle different types of text generation, create_embeddings is for vector representations, get_model retrieves specific model details, and list_models shows all available models. The descriptions reinforce these distinctions, making misselection unlikely.

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern (e.g., create_chat_completion, list_models) using snake_case throughout. The naming is predictable and readable, with no deviations in style or convention across the set.

    Tool Count5/5

    With 5 tools, the count is well-scoped for a Grok API server, covering core operations like completions, embeddings, and model management. Each tool earns its place without feeling excessive or insufficient for the domain.

    Completeness4/5

    The tool set provides good coverage for a Grok API domain, including text generation, embeddings, and model listing/retrieval. A minor gap exists in lacking update or delete operations for models or completions, but agents can work around this for typical workflows.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues