An MCP server that provides BibTeX - formatted reference data, integrating CiteAs and Google Scholar resources

A Google Scholar search and analysis tool based on the MCP protocol, providing paper search and scholar profile analysis functions, and supporting integration with MCP clients and Cherry Studio.

Google Scholar MCP Server is an interface service that provides AI assistants with access to academic papers on Google Scholar through the Model Context Protocol (MCP). It supports keyword search, advanced retrieval, and author information query functions to help AI models retrieve academic paper metadata.

A powerful scholarly research tool that integrates the search functions of multiple academic databases such as PubMed, Google Scholar, ArXiv, and JSTOR, providing functions such as paper search, full - text reading, key information extraction, citation management, and research organization.

This is an implementation of the scientific search MCP protocol designed for the Cursor editor, integrating multiple academic search engines (such as Google Scholar, PubMed, arXiv, etc.), supporting Semantic Scholar search through Tor, and providing functions such as PDF processing.

This project is a series of MCP servers based on SerpAPI and YouTube, providing AI assistants with various search functions, including Google Search, News, Scholar, Trends, Finance, Maps, Images, as well as YouTube Search and caption retrieval.