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AI Notify MCP

by zhiyingzzhou
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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

    C2.8/5.0

    Scored across 2 tools

    Disambiguation1/5

    The two tools are essentially identical in purpose. Both 'auto_notify_completion' and 'show_completion_notification' describe showing a notification when AI completes a response, with only minor wording differences. An agent would have no meaningful basis to choose between them, leading to confusion and misselection.

    Naming Consistency3/5

    The naming shows mixed conventions. 'auto_notify_completion' uses a verb-object pattern with underscores, while 'show_completion_notification' uses a verb-noun pattern with underscores. Both are readable, but the inconsistency in structure (auto vs. show, notify vs. notification) reduces predictability.

    Tool Count2/5

    With only 2 tools, the server feels thin for its purpose of AI notifications. Given the tools are redundant, this exacerbates the issue—it's essentially one tool split into two. A more appropriate count would be 1-2 distinct tools, but here the duplication makes it seem artificially inflated.

    Completeness2/5

    The server's domain appears to be AI response notifications, but the tool set is severely incomplete. There are no tools for configuring notifications (e.g., setting preferences, disabling), handling different types of notifications, or managing notification history. The redundancy in the two tools does not add meaningful coverage, leaving significant gaps for agent workflows.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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