ScholarFetch is a multi-engine academic research tool designed for literature discovery, paper traversal, and corpus-building. It supports interactive CLI exploration and exposes its research environment via the Model Context Protocol (MCP), enabling both human users and AI agents to search, inspect, save, and export academic papers from several scholarly engines. Ideal for researchers, students, and agents needing structured academic data, it allows export in formats like BibTeX, citations, abstracts, and full text.
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.