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WangHuikong

CKG-NVIDIA-AI

by WangHuikong
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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

    A4/5.0

    Scored across 8 tools

    Disambiguation4/5

    Most tools have distinct purposes. However, get_prerequisites and query_ckg overlap, as both can provide prerequisite information, which might cause confusion for an agent choosing between them.

    Naming Consistency5/5

    All tool names use snake_case and follow a consistent verb_noun pattern, e.g., list_ecosystem, search_concepts, verify_source. No mixing of conventions.

    Tool Count5/5

    With 8 tools, the set is well-scoped for a read-only knowledge graph server covering discovery, traversal, reasoning, and verification. Each tool earns its place.

    Completeness4/5

    The tool surface covers the main workflows: domain listing, concept search, graph traversal, prerequisite chains, natural language querying, routing, and source verification. A minor gap is lack of a tool to retrieve full concept metadata or export all concepts, but core functionality is present.

    Maintenance

    ActivityMaintained
    ResponsivenessSyncing

    Resources