Google-Scholar-MCP-Server
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The Google Scholar MCP Server provides a bridge between AI assistants and Google Scholar through the Model Context Protocol (MCP). It allows AI models to search for academic papers and access their content in a programmatic way.
The Google Scholar MCP Server is designed to facilitate the interaction between AI models and Google Scholar, enabling efficient academic research and analysis. By leveraging the Model Context Protocol (MCP), this server allows AI assistants to perform searches, retrieve paper metadata, and gather detailed author information from Google Scholar. This tool is particularly useful for researchers and developers who need to integrate academic paper search capabilities into their AI applications. The server supports both basic keyword searches and advanced search queries, providing flexibility and depth in research capabilities.
Features
- Paper Search: Query Google Scholar papers with custom search strings or advanced search parameters.
- Efficient Retrieval: Fast access to paper metadata.
- Author Information: Retrieve detailed information about authors.
- Research Support: Facilitate academic research and analysis.
Tools
search_google_scholar_key_words
Search for articles on Google Scholar using key words.
search_google_scholar_advanced
Perform an advanced search for articles on Google Scholar.
get_author_info
Get detailed information about an author from Google Scholar.