mcp-use: mcp-use is a full-stack framework for Model Context Protocol (MCP), enabling the creation of MCP servers, clients, and AI agents. It supports development in both Python and TypeScript with minimal code.; scholar-search-mcp: This MCP server integrates Semantic Scholar and arXiv APIs to provide academic paper search and metadata retrieval for AI assistants. It supports features like keyword search with parallel merging, paper details, citations, references, author info, batch lookup, recommendations, and arXiv LaTeX source download. The tool can be configured for different AI assistants like Claude and Cursor.
Building intelligent AI agents capable of using tools and reasoning across steps
AI assistants can search for academic papers to answer research questions