About Search Papers
Search Papers is an open-source Model Context Protocol (MCP) integration that enables AI agents to autonomously search, analyze, and explore academic papers from arXiv. It offers robust multi-field search, advanced paper analysis, citation extraction, version tracking, and export options, making it ideal for researchers, students, and automated research assistants who need in-depth academic discovery and literature review functionality. Integration examples are provided for agent platforms like Cursor, Claude Code, and Codex.
Resources
Product Website
Visit Search Papers's official website for product details and getting started.
Documentation
Comprehensive guides and API references for integrating and using Search Papers.
GitHub Issues
Community discussions and issue tracking for bugs, feature requests, and support.
Example Integrations
Sample code and use cases for integrating Search Papers with various AI agent platforms.