ScholarFetch is a multi-engine academic research tool designed for researchers, students, and knowledge workers who need to explore scholarly literature efficiently. It offers both a terminal-based interface and powerful MCP server integration, enabling fast search, traversal, and organization across diverse academic databases like Elsevier, arXiv, and Semantic Scholar. ScholarFetch supports interactive paper exploration, reference chaining, author disambiguation, research session statefulness, and exportable reading lists for downstream synthesis and citation management.
Visit ScholarFetch's official website for product details and getting started.
Comprehensive API reference and user guides for ScholarFetch.
Community forum for reporting bugs and requesting features.
Collection of practical examples and use cases for ScholarFetch.
Comprehensive guides and API references for using ScholarFetch effectively.