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operational-data-mcp

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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

    A3.5/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool targets a distinct purpose: listing assets, querying production, querying downtime, summarizing throughput, and detecting anomalies. There is no overlap in functionality, making it easy for an agent to select the correct tool for a given task.

    Naming Consistency4/5

    All tool names follow a clear verb_noun pattern (e.g., list_assets, query_production). The only minor deviation is 'find_anomalies' instead of 'list_anomalies' or 'query_anomalies', but it still maintains the verb_noun structure and is consistent with the overall style.

    Tool Count5/5

    With 5 tools, the server is well-scoped for an operational data analysis domain. Each tool provides essential functionality without being excessive, covering asset listing, data querying, summarization, and anomaly detection appropriately.

    Completeness3/5

    The tool set covers core querying and analysis needs (production, downtime, throughput, anomalies) but lacks write operations (e.g., adding or updating assets/events) and more advanced analysis (e.g., trend forecasting). This is acceptable for a read-only data exploration server, but leaves gaps for full lifecycle management.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

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