Provides direct access to 200M+ academic papers from Semantic Scholar, enabling paper search with advanced filters, author discovery, citation analysis, and AI-powered paper recommendations through natural language.
A comprehensive Model Context Protocol server that provides AI assistants with direct access to Semantic Scholar's academic database, enabling advanced paper discovery, citation analysis, author research, and AI-powered recommendations.
Enables access to the Semantic Scholar Academic Graph API for searching and retrieving detailed information about academic papers, authors, citations, and references.
Provides tools for accessing the Semantic Scholar API to search papers, retrieve paper and author details, and fetch citations and references through the Model Context Protocol.
"mcp\_scholar" is a Python-based tool for searching and analyzing Google Scholar papers, supporting features like keyword-based searches and integration with MCP clients and Cherry Studio. It provides functionalities such as fetching top-cited papers from scholar profiles and summarizing research top