Scholarly Research MCP Server

# Scholarly Research MCP Server - Overview ## What Is This? A **Model Context Protocol (MCP) server** that provides powerful research tools for AI assistants. It helps find, analyze, and manage academic research papers from multiple sources. ## Key Features ✅ **5 Powerful Tools** (instead of 24 separate ones) ✅ **Multi-Source Search** - PubMed, Google Scholar, ArXiv, JSTOR ✅ **Full Text Access** - Read complete papers when available ✅ **Smart Analysis** - Extract quotes, statistics, and findings ✅ **Citation Management** - Multiple formats (APA, MLA, BibTeX, etc.) ✅ **User Preferences** - Customizable search and display settings ## What Changed in v2.0.0 - **80% reduction** in tool count (24 → 5) - **Easier to use** and remember - **More powerful** functionality - **Better performance** and maintainability ## Quick Start 1. **Setup**: See [README.md](README.md) for installation 2. **Usage**: Use with any MCP-compatible AI assistant 3. **Documentation**: Check the [`docs/`](docs/) directory ## Use Cases - **Students**: Find sources for research papers - **Researchers**: Discover related work and extract evidence - **Writers**: Fact-check claims with academic sources - **Anyone**: Access academic research easily ## Technical Details - **Language**: TypeScript/Node.js - **Protocol**: MCP (Model Context Protocol) - **Sources**: PubMed, Google Scholar, ArXiv, JSTOR - **License**: MIT --- **For detailed information**: See [README.md](README.md) and the [`docs/`](docs/) directory.