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Firnschnee

Dual Model MCP Server

by Firnschnee
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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

    A4.1/5.0

    Scored across 2 tools

    Disambiguation4/5

    The two tools have distinct purposes: query_dual_models is an escalation tool for hard problems with parallel multi-model synthesis, while ask_gpt is a cheap everyday second opinion. The descriptions explicitly differentiate them (e.g., 'keine Eskalation'), though both involve querying external models, so mild overlap remains.

    Naming Consistency4/5

    Both names follow a verb_noun snake_case pattern (query_dual_models, ask_gpt). The verbs 'query' and 'ask' are synonyms rather than identical, and the nouns differ in specificity, but the convention is readable and consistent enough.

    Tool Count4/5

    Two tools is slightly below the typical 3-15 range, but each tool serves a clear, distinct use case (escalation vs. everyday second opinion). The count is well-scoped for a focused dual-model query server.

    Completeness4/5

    The surface covers the two main workflows: multi-model escalation and single-model second opinion. Minor gaps exist, such as no tool to discover available models or configure model defaults, but core needs are met.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources