arXiv

Integrates with arXiv academic repository to provide paper search by keywords, authors, or categories, content retrieval, and text analysis with similarity matching for research workflows and literature reviews.

This MCP server provides arXiv academic paper search and analysis capabilities, enabling research paper discovery, content retrieval, and document analysis through the arXiv API. Built by Emi using Python with FastMCP, scikit-learn for machine learning analysis, and pandas for data processing, it integrates directly with the arXiv repository to offer paper search by keywords, authors, or categories, along with advanced text analysis and similarity matching capabilities. The implementation is valuable for academic research workflows, literature reviews, and building AI assistants that need access to scientific publications and research paper analysis without manual arXiv platform navigation.