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Galiusbro

AI Ops Hub

by Galiusbro
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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

    B3/5.0

    Scored across 7 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose with no overlap: file operations, RAG operations, task management, and web fetching are all separate domains. The descriptions clearly differentiate them, making misselection unlikely.

    Naming Consistency4/5

    Most tools follow a consistent verb_noun pattern (e.g., file_read, task_create, web_fetch), but 'rag_add_document' and 'rag_search' deviate slightly by using 'add' and 'search' as verbs instead of a uniform verb style. The naming is still readable and mostly predictable.

    Tool Count5/5

    With 7 tools, this server is well-scoped for an AI Ops Hub, covering key areas like file handling, RAG, task management, and web operations. Each tool earns its place without feeling excessive or insufficient.

    Completeness4/5

    The tool surface covers core operations for file I/O, RAG, tasks, and web fetching, but there are minor gaps such as missing update/delete for tasks or document management in RAG. Agents can likely work around these with the provided tools.

    Maintenance

    ActivityStale
    ResponsivenessNo issues

    Resources