Analyzes academic author networks and research collaborations by extracting information from multiple data sources.
AuthorProfile analyzes academic author networks and research collaborations using a Model Context Protocol (MCP) server. It retrieves co-author information and extracts research keywords from sources like Semantic Scholar, OpenAlex, Crossref, and Google Scholar. The server incorporates features like rate limiting, caching, and error handling to ensure efficient and reliable data retrieval, even with API limits and potential scraping issues. It combines data from multiple sources for co-author identification and uses asynchronous operations for improved performance.