Paper Search

Aggregates academic paper search and retrieval across arXiv, PubMed, bioRxiv, medRxiv, Google Scholar, IACR ePrint Archive, Semantic Scholar, and CrossRef with PDF download capabilities, text extraction, intelligent caching, and asynchronous processing for streamlined research workflows and literature reviews.

A multi-source academic paper search and retrieval server that aggregates results from arXiv, PubMed, bioRxiv, medRxiv, Google Scholar, IACR ePrint Archive, Semantic Scholar, and CrossRef through a unified interface. Built by P.S Zhang with FastMCP, it provides both legacy platform-specific search tools and standardized search/fetch tools compatible with OpenAI Deep Research, featuring PDF download capabilities, text extraction using PyPDF2, intelligent caching with LRU eviction, and asynchronous processing for efficient multi-platform queries. The implementation handles rate limiting, provides consistent Paper object formatting across all sources, and includes containerized deployment support, making it useful for research workflows, literature reviews, and AI-assisted academic research where accessing papers from multiple databases through a single interface streamlines the discovery and analysis process.