Search Papers
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Automate the search, analysis, and exploration of academic papers from arXiv for AI agents.
About
Empower AI agents to autonomously search, analyze, and explore academic papers from arXiv. This tool provides a comprehensive suite of features, including advanced multi-field search, author-specific queries, category browsing, version tracking, citation extraction, and related paper discovery, all accessible through a Model Context Protocol (MCP) server. It further enhances research workflows with AI-powered prompts for literature reviews, research gap identification, paper comparison, and trend analysis, making it an indispensable resource for automated academic research.
Key Features
- Advanced multi-field search with date ranges and sorting options
- Author-specific searches with affiliation tracking
- Category browsing for all ArXiv subject areas
- Citation extraction from abstracts and metadata
- AI-powered prompts for literature reviews and trend analysis
- 0 GitHub stars
Use Cases
- Conduct advanced searches for academic papers based on authors, keywords, dates, and categories.
- Analyze papers by extracting citations, tracking versions, and discovering related research.
- Generate research insights like literature reviews, identify research gaps, and compare multiple papers.
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