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goodreads-mcp-ai

by Danathar
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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

    A4.5/5.0

    Scored across 12 tools

    Disambiguation5/5

    Each tool targets a distinct resource or action: search, book details, reviews, editions, series, author bibliography, similar books, shelves, list membership, popular charts, and comparison. Even the retrieval-heavy tools have clear boundaries, and descriptions reinforce when to use each.

    Naming Consistency4/5

    Most tools follow a get_/list_/search_ verb_noun pattern, but several are noun-phrase names like book_lists, popular_books, author_books, similar_books, and series_books. The naming is still readable and predictable, with only minor convention mixing.

    Tool Count5/5

    12 tools is well-scoped for a read-only Goodreads server. Each tool covers a meaningful part of the book discovery surface without redundancy or bloat.

    Completeness4/5

    The surface covers search, book details, reviews, editions, series, author works, shelves, similar books, lists, popular charts, and comparison. Minor gaps exist—like no direct author profile details or no way to browse the books inside a specific Listopia list—but core workflows are complete.

    Maintenance

    ActivityNo data
    ResponsivenessResponsive

    Resources