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InferenceIndexer MCP Server

by DesMartin01
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Python
Remote

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    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