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InferenceIndexer MCP Server

by DesMartin01
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Python
Remote

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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

    A4.3/5.0

    Scored across 8 tools

    Disambiguation5/5

    Each tool addresses a distinct resource/action combination: model search, provider list, model detail, model history, provider detail, composite index (current/history), and cross-provider comparison. The overlap between search_models and get_model is minimal as one is for discovery and the other for a specific model.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun snake_case pattern (search, list, get, get, get, get, get, compare) with no mixed styles or vague verbs. The pattern is predictable and immediately conveys the operation and target.

    Tool Count5/5

    8 tools is well within the ideal range for a focused read-only inference pricing service. Each tool covers a necessary aspect of exploring models, providers, and composite indices without redundancy or bloat.

    Completeness5/5

    The domain of tracking inference model pricing and providers is fully covered with search, detail, history, provider listing/detail, cross-provider comparison, and composite index (current and historical). No obvious gaps exist for the stated purpose of an inference indexer.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources