A Model Context Protocol server that enables AI agents to search, retrieve, and analyze academic papers from arXiv, supporting features like keyword search, paper details retrieval, content extraction, and paper analysis.
A Model Context Protocol server that enables natural language interaction with arXiv.org, allowing users to search, retrieve metadata, download PDFs, and load scholarly articles into LLM context.
A Python implementation of the Model Context Protocol (MCP) server that enables searching and extracting information from arXiv papers, designed to be extensible with additional MCP tools.
A Model Context Protocol (MCP) server that provides AI assistants with a seamless, programmatic interface to search and read academic papers from the open-access arXiv repository.
