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queue-aiops

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Python

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    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

    A3.8/5.0

    Scored across 28 tools

    Disambiguation3/5

    Most tools have distinct purposes, but there is notable overlap between queue_overview and rabbitmq_overview, and between redis_memory_pressure_rca and redis_memory_stats. The RCA tools are clearly diagnostic, but the overview tools could be confused for simple listing tasks.

    Naming Consistency3/5

    The naming is readable and consistently snake_case, but conventions vary: some tools use verb_noun (list_queues, delete_policy), some use noun_qualifier (redis_memory_stats), and some use rca or analysis suffixes. This mixed style is still navigable but not uniform.

    Tool Count2/5

    With 28 tools, the set exceeds the typical well-scoped range. While the server covers both Redis and RabbitMQ, the count feels heavy, and several tools could be consolidated without losing functionality.

    Completeness4/5

    The tool surface covers core read diagnostics and write remediation for both Redis and RabbitMQ, including lifecycle operations for queues and policies. Minor gaps exist, such as no exchange/binding management or direct message browsing, but agents can work around these for common AIOps workflows.

    Maintenance

    ActivityActive
    ResponsivenessNo issues

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