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crnisamuraj

godmod3-mcp

by crnisamuraj
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Python
Hybrid

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    TDQS

    B3/5.0

    Scored across 17 tools

    Disambiguation4/5

    Most tools have clearly distinct purposes, such as single_chat vs. ultraplinian_chat vs. consortium_chat, and parseltongue_encode vs. parseltongue_detect. Minor overlap exists between health_check and server_info (both relate to connectivity/info) and between dataset_stats and research_stats (both provide statistics but on different datasets), but these are distinguishable with careful reading.

    Naming Consistency3/5

    Naming conventions are mixed: some tools follow verb_noun patterns (list_models, get_tier, transform_text, submit_feedback, export_dataset), while others use noun_verb or compound nouns (health_check, parseltongue_encode, parseltongue_detect, server_info, dataset_stats). All names are readable and use snake_case, but the inconsistent verb placement and noun-only names prevent a higher score.

    Tool Count3/5

    With 17 tools, the server falls into the 'heavy' range (16-25). The tool count is justified by the broad scope of the API, covering chat, optimization, text transformation, and research, but it still feels slightly bloated and could be consolidated by merging some informational tools or research stats endpoints.

    Completeness4/5

    The tool surface is largely complete for the stated domain: it covers chat (single, ULTRAPLINIAN, CONSORTIUM), AutoTune analysis, Parseltongue encoding/detection, STM transformation, feedback, dataset export, and research querying. Minor gaps include no Parseltongue decoding and no dataset upload/management, but these are not critical for the core API usage.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources