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xAI MCP Server

by joemccann
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TypeScript
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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

    A3.6/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose with no overlap: analyze_image handles image analysis, chat is for text conversations, generate_image creates images, generate_video creates videos, and live_search performs web searches. The descriptions reinforce these distinct domains, making tool selection unambiguous.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern (e.g., analyze_image, generate_video, live_search) using snake_case throughout. This predictable naming scheme makes the tool set easy to navigate and understand at a glance.

    Tool Count5/5

    With 5 tools, this server is well-scoped for its purpose of interacting with xAI's Grok models across different modalities (text, image, video, search). Each tool earns its place by covering a distinct aspect of the AI service without being overly sparse or bloated.

    Completeness4/5

    The tool set covers core AI functionalities: chat, image analysis/generation, video generation, and web search. A minor gap is the lack of audio-related tools (e.g., speech-to-text or text-to-speech), but agents can work around this given the comprehensive coverage of visual and text domains.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources