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Cerebras Multi-Model MCP Server

by khansabassem
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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

    A3.8/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool targets a distinct use case: auto-selection, heavy code, instruction-following, fast generation, or deep reasoning. Descriptions clearly separate model sizes and tasks, eliminating ambiguity.

    Naming Consistency5/5

    All tool names follow a consistent 'cerebras_<adjective>' pattern using snake_case. The descriptors (auto, complex, instruct, quick, reasoning) clearly indicate the tool's purpose.

    Tool Count5/5

    With 5 tools, the server covers the main model variants without being excessive. The count is well-scoped for a model selection server, providing essential choices without redundancy.

    Completeness4/5

    The tool surface covers auto-selection, heavy tasks, instruction-tuned, fast, and reasoning use cases. One minor gap: no explicit 'chat' or 'vision' tool, but the domain appears focused on code generation, so the set is largely complete.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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