Scholarly (arXiv)

Integrates with arXiv to enable keyword-based searching and retrieval of academic articles for research assistance and literature reviews.

This mcp-scholarly server, developed by Aditya Karnam, provides a standardized interface for searching academic articles through the arXiv database. Built with Python and leveraging the arxiv library, it offers a tool to query arXiv based on keywords. The server integrates seamlessly with Claude Desktop, abstracting the complexities of academic search into a consistent MCP interface. By enabling AI systems to access and analyze scholarly literature, this implementation facilitates use cases such as literature reviews, research assistance, and staying up-to-date with the latest publications in specific fields. The server is designed for easy deployment and debugging, making it valuable for researchers and developers building AI-powered tools that interact with academic content.