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E37dey

factory-floor-mcp

by E37dey
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

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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

    A3.7/5.0

    Scored across 10 tools

    Disambiguation4/5

    Tools mostly target distinct analytical areas (inventory, OEE, downtime, scrap, work orders), but get_work_orders and late_work_orders have overlapping scope, and production_kpis overlaps with component tools like machine_oee and downtime_pareto. Descriptions help clarify boundaries, reducing confusion.

    Naming Consistency3/5

    Mixed conventions: some tools use verb_noun (list_datasets, search_records, get_work_orders) while others are noun phrases (inventory_alerts, production_kpis, machine_oee, downtime_pareto, downtime_events, scrap_summary, late_work_orders). All are snake_case and readable, but the lack of a consistent verb pattern reduces predictability.

    Tool Count5/5

    10 tools is well within the typical 3-15 range for a domain-specific analytics server. Each tool provides a distinct analytical view, and there is no obvious redundancy or bloat.

    Completeness4/5

    The server covers key factory-floor analytics: dataset discovery, inventory alerts, production KPIs, OEE, downtime, scrap, and work orders. Minor gaps exist, such as no dedicated tool for raw production records or quality inspections beyond scrap, but core workflows are well supported.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources