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cerebrochain-mcp-server

by CerebroChain
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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 20 tools

    Disambiguation3/5

    Most tools have distinct purposes (e.g., check_stock_levels vs lookup_sku vs search_inventory target different access patterns), but the natural_language_command tool significantly overlaps with list_orders, list_shipments, search_inventory, and others, creating ambiguity about when to use specific structured tools versus the flexible NL interface.

    Naming Consistency5/5

    Excellent consistency throughout. All tools use snake_case with clear verb_noun patterns (get_, list_, check_, search_, optimize_, compare_). Verb usage is predictable: 'get' for specific items, 'list' for collections, 'search' for filtered queries.

    Tool Count4/5

    Twenty tools is slightly above the ideal range but reasonable given the domain complexity spanning inventory, orders, shipments, fleet, warehouse, and AI analytics. Each tool serves a distinct supply chain function without obvious redundancy.

    Completeness4/5

    Strong coverage across the supply chain lifecycle: inventory management, order tracking, shipment logistics, fleet optimization, and financial metrics. Minor gaps in explicit write/update operations (create_order, update_inventory), though natural_language_command appears to handle some mutations.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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