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TokenHub 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

    B3.1/5.0

    Scored across 6 tools

    Disambiguation4/5

    Each tool targets a distinct operation: discovery, workflow execution, state capture, context retrieval, resource reading, and cost estimation. The only slight potential confusion is between retrieve_context and read_resource, but their descriptions clearly separate broad retrieval from specific resource access.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern with snake_case (discover_capabilities, run_workflow, capture_state, retrieve_context, read_resource, estimate_cost). This uniformity makes the tool set predictable and easy to navigate.

    Tool Count5/5

    With 6 tools, the server is well-scoped for a context and resource management purpose. Each tool serves a clear function without redundancy, fitting comfortably within the ideal 3-15 tool range.

    Completeness4/5

    The set covers core operations for managing context and resources: discovery, execution, saving, retrieval, reading, and cost estimation. Minor gaps include no explicit update/delete operation for saved states or resources, but these may not be essential given the server's focus.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources