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SLayer

by MotleyAI
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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

    A3.9/5.0

    Scored across 20 tools

    Disambiguation4/5

    Most tools have clearly distinct purposes (datasource lifecycle, model CRUD, querying, search/memory). However, inspect_model and models_summary are explicitly superseded by the broader inspect tool, creating redundancy that could cause misselection. Descriptions clearly mark these overlaps, but the presence of deprecated tools adds mild ambiguity.

    Naming Consistency4/5

    The predominant pattern is verb_noun (create_model, delete_datasource, set_datasource_priority, etc.). Deviations include bare verbs like 'search' and 'inspect', and noun-led 'models_summary'. The deprecated 'inspect_model' also creates an inconsistency with 'inspect'. Overall, the convention is mostly consistent with a few outliers.

    Tool Count3/5

    At 20 tools, this is on the heavy side but reasonable for a server covering datasource management, model CRUD, querying, and memory/search. It sits at the borderline between well-scoped (3-15) and slightly over (16-25), and the breadth of functionality justifies the count, though a few redundant tools could be trimmed.

    Completeness4/5

    The surface covers datasource lifecycle (create/describe/edit/delete/priority), model lifecycle (create/edit/delete/inspect/validate/ingest), querying, and search/memory. Minor gaps include lack of datasource credential updates and model renaming, but these are workaroundable. Deprecated tools add redundancy but don't create functional dead ends.

    Maintenance

    ActivityActive
    ResponsivenessWithin a week

    Resources