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by JackKuo666 • Search & Retrieval
MCP server enabling AI assistants to search and access Google Scholar papers.
Search scholarly papers using specific keywords or advanced queries.
Quickly retrieve metadata about academic papers from Google Scholar.
Access detailed author information for academic research purposes.
The Google Scholar MCP Server provides a bridge between AI assistants and Google Scholar using the Model Context Protocol (MCP). It enables efficient search, retrieval, and access to academic papers and author information, enhancing research capabilities for AI models. This server facilitates specialized searches with keywords or advanced parameters, offering detailed results from Google Scholar.
Search Google Scholar for academic papers, articles, and publications. Args: q: Search query hl: Language code (default: "en") start: Offset for search results (default: 0) num: Number of results to return (default: 10)
Get Google Scholar author profile information. Args: author_id: The author's unique ID (e.g., from a search result) hl: Language code (default: "en")
Get articles for a specific author. Args: author_id: The author's unique ID hl: Language code (default: "en") start: Offset for articles (default: 0) num: Number of articles to return (default: 20) sort: Sort order ("pubdate" or "citation")
Get details about a specific citation for an author. Args: author_id: The author's unique ID citation_id: The specific citation ID hl: Language code (default: "en")
Get citation formats (BibTeX, MLA, APA, etc.) for a result. Args: q: The ID of the result to cite (usually from search results)
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