MCP server for semantic research: search arXiv, fetch papers, and answer questions grounded in the actual paper text via RAG tools, resources, and prompts.
An advanced scholarly research MCP server that enables AI assistants to discover, fetch, process, and manage academic papers across multiple sources like arXiv, PubMed, and Semantic Scholar, with capabilities for summarization, citation analysis, and concept relationship extraction.
An MCP server for searching and citing research papers using RAG, enabling semantic search, citation finding, and question answering over a collection of PDF papers.
MCP server that turns DOI, URL, or paper titles into structured Markdown full-text with metadata and assets, enabling AI agents to read beyond abstracts.