This MCP server, developed for the IACR Cryptology ePrint Archive, provides a bridge between AI models and cryptographic research papers. Built with TypeScript and leveraging libraries like axios, cheerio, and xml2js, it offers tools for parsing and retrieving information from the ePrint Archive. The implementation focuses on efficient data extraction and processing, making it accessible for AI assistants or applications needing to analyze or query cryptographic research. It's particularly useful for tasks like literature reviews, trend analysis in cryptography, or staying updated with the latest cryptographic developments, enabling programmatic access to a vast repository of cryptographic knowledge without requiring deep understanding of web scraping or XML parsing.
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Highlight AISearch for papers. Parameters: query (string, required), year (optional string), max_results (optional integer, default: 20)
Retrieve details for a specific paper. Parameters: paper_id (string, required)