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.
MCP server for AI-assisted research: paper ingestion, semantic search, citation graph traversal, cross-domain knowledge synthesis, and workflow automation.
MCP server that integrates a 1200-paper RAG database with six tools to support research workflows across stages like hypothesis, experiment, statistics, and writing. It routes requests to specialized skills and real-time frontier searches to provide evidence-grounded research mentoring.
MCP server that enables AI assistants to drive systematic literature review workflows, including screening, downloading, converting, and reviewing papers through natural language conversation.