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CNKI MCP Server

by slender0923
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    Related Servers

    • CNKI MCP Server

      h-lu
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      A
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      D
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      Enables AI agents to search and retrieve academic papers from China National Knowledge Infrastructure (CNKI), supporting various search types including subject, keyword, author, and DOI lookups.
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    • CNKI-Enhanced-MCP

      ChengDSYJ-Studio
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      Enables AI to search, filter, and process CNKI academic literature through natural language, including structured search, metadata retrieval, full-text reading, citation export, and PDF/CAJ download.
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    • cnki-mcp

      wuruiqi
      A
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      quality
      C
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      Enables AI assistants to search CNKI (China National Knowledge Infrastructure), download PDFs, and import them into Zotero with automatic PDF attachment.
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    • cnki-search

      Biogod2020
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      MCP server for searching Chinese academic literature from CNKI Space, returning metadata such as title, authors, year, and links, and retrieving abstracts and degree details. Enables agents to query CNKI without an account.
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    • Academic Paper Search MCP

      afrise
      A
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      quality
      F
      maintenance
      Enables real-time search and retrieval of academic paper information from multiple sources, providing access to paper metadata, abstracts, and full-text content when available, with structured data responses for integration with AI models that support tool/function calling.
      3
      117
      AGPL 3.0
    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 3 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: search_cnki for general querying, get_paper_detail for retrieving metadata from a URL, and find_best_match for fuzzy title matching. There is no overlap in their primary functions, making selection unambiguous.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern (search_cnki, get_paper_detail, find_best_match) with snake_case and action-first naming. The verbs clearly reflect the operation, and the naming style is uniform.

    Tool Count5/5

    With 3 tools, the server is well-scoped for its purpose of searching and retrieving CNKI papers. Each tool serves a distinct need without redundancy, fitting within the ideal 3-15 range.

    Completeness4/5

    The tool set covers the core workflow: search for papers, retrieve details, and match specific titles. A minor gap is the lack of a direct way to browse by subject or export results, but the existing tools handle the main research workflow effectively.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources