Enables searching, downloading, and managing academic papers from arXiv.org through natural language interactions. Provides tools for paper discovery, PDF downloads, and local paper collection management.
Enables searching arXiv papers, extracting paper information, listing paper topics, and generating structured research prompts through MCP tools, resources, and prompts.
Enables AI assistants to search arXiv's research repository, download papers, and access their content programmatically. Includes specialized prompts for comprehensive academic paper analysis covering methodology, results, and implications.
Enables searching arXiv papers by topic or category, retrieving full text, PDFs, and BibTeX citations, and generating structured reviews and comparisons.
Enables interaction with arXiv.org to search scholarly articles, retrieve metadata, download PDFs, and load article content directly into LLM context for analysis.
Enables agents to search papers across Semantic Scholar and arXiv, read and extract text from arXiv PDFs, align records across sources, and produce structured literature-analysis digests.