arXiv

Integrates with arXiv's academic paper repository to enable searching, analyzing, and managing research papers with features like author searches, trend analysis, citation estimation, and multi-format export capabilities.

A Python-based MCP server implementation that provides comprehensive access to arXiv's academic paper repository through a rich set of tools for searching, analyzing, and managing research papers. Built with asyncio and httpx for efficient API interactions, it offers advanced features including author and category-based searches, trend analysis, citation estimation, related paper discovery, and multi-format export capabilities (BibTeX, JSON, CSV, Markdown). The implementation includes sophisticated analyzers for research trends, keyword frequency analysis, and paper comparison tools, making it valuable for researchers, academics, and AI assistants who need to explore scientific literature, track research developments, or compile bibliographies without manually navigating arXiv's interface.