Skip to main content
Glama
surendranb

book-recommendations

by surendranb
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

Related Servers

Alternatives to book-recommendations

No user-submitted related servers found.

    Related Servers

    • Readbook MCP Server

      mkafw
      F
      license
      Not graded
      quality
      D
      maintenance
      Enables AI assistants to help users manage their reading experience by searching books, tracking reading progress, managing bookmarks, and generating personalized recommendations and summaries.
      -

    • PoetryDB MCP Server

      pipeworx-io
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to explore a public-domain poetry collection by searching poems by title, finding poems whose lines contain a given phrase, pulling one or more random poems, and listing available authors. It returns full poem text with author and line-count details, and works either through a hosted gateway or as a local stdio server without an account.
      326 npm
      MIT

    • Ebook-MCP

      bartest5
      A
      license
      Not graded
      quality
      C
      maintenance
      Enables natural language interaction with e-books, supporting EPUB and PDF formats. Provides APIs for metadata extraction, table of contents, and content retrieval for AI-powered reading and learning.
      Apache 2.0

    • hardcover-mcp

      kristianedlund
      A
      license
      B
      quality
      A
      maintenance
      Connects AI assistants to the Hardcover book library, enabling natural language book searches, reading status updates, list management, and library exploration.
      39
      8
      MIT
    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

    B3.2/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool serves a clearly distinct purpose: recommend provides targeted recommendations, blind_date offers random serendipity, free_classics surfaces public-domain works, and skills_list/skill_read manage usage guidance. No overlap or ambiguity exists between the tools.

    Naming Consistency2/5

    Tool names follow no consistent pattern: 'recommend' is a bare verb, 'blind_date' and 'free_classics' are noun phrases, while 'skills_list' is a noun-noun compound and 'skill_read' reverses the typical verb-object order. This mixed convention could cause confusion about expected behavior.

    Tool Count5/5

    With just 5 tools, the server is tightly scoped for its domain. Each tool adds distinct value without redundancy, and the count is well within the ideal range for a focused MCP server.

    Completeness4/5

    The core recommendation workflows are covered: tailored recommendations, serendipitous discovery, and access to classics. However, missing operations like fetching book details or saving favorites create minor gaps, though agents can likely work around them for most use cases.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources