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goodreads-mcp

goodreads-mcp

by shreeyachand
OverviewSchemaSourceRelated ServersDiscussionsAdmin
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

    A4.1/5.0

    Scored across 12 tools

    Disambiguation4/5

    Most tools target clearly distinct resources: search_books, get_book, get_reviews, get_editions, similar_books, author_books, series_books, compare_books, popular_books, book_lists, and get_shelf are all identifiable by purpose. The main ambiguity is between list_shelves and get_shelf—both involve shelves—but descriptions clarify one returns shelf names and the other returns books on a shelf.

    Naming Consistency3/5

    The naming follows a loose verb_noun pattern for many tools (search_books, get_book, get_reviews, get_editions, get_shelf, compare_books, list_shelves), but several tools drop the verb entirely and use bare noun phrases like book_lists, similar_books, author_books, series_books, and popular_books. This mixed convention is readable but not fully consistent.

    Tool Count5/5

    Twelve tools form a well-scoped set for a Goodreads data-access server. Each tool covers a meaningful, distinct aspect of book discovery and reading data without feeling padded or redundant.

    Completeness5/5

    The tool surface covers the major Goodreads information needs: search, full book details, reviews, editions, related books, author bibliographies, series membership, Listopia lists, popularity charts, comparison, and shelf contents. There are no obvious dead ends for a read-only book-data server; result payloads include ids and URLs for chaining into further lookups.

    Maintenance

    ActivityMaintained
    ResponsivenessSlow

    Resources