# Academic search

An MCP server for interacting with the Crossref API, providing functions to search for literature by title and author and obtain literature details through DOI.

This project implements an MCP server that interacts with the Semantic Scholar API, providing functions such as paper search, obtaining paper/author details, and querying cited literature.

The Crossref MCP Server is a bridge service that provides academic paper metadata search for AI assistants through the Model Context Protocol (MCP). It supports retrieving information on academic literatures, journals, and funding institutions in the Crossref database by DOI, title, or keywords.

MCP-DBLP is a service based on the Model Context Protocol (MCP) that provides large language models with the ability to access the DBLP computer science literature database, including functions such as search, citation processing, and BibTeX export.

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.

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 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.

An MCP server based on Node.js that uses Express and Axios to proxy queries to the OpenAlex API and supports Docker deployment.

The arXiv Research Assistant MCP Server is a local server built on Python and the FastMCP framework, specifically designed to interact with the arXiv.org paper database. It provides functions such as keyword search, getting the latest papers by category, querying paper details, retrieving author papers, and supports generating paper summaries and comparison prompts to help users efficiently explore academic literature.

The Sci-Hub MCP service is a bridge connecting AI assistants with Sci-Hub's academic resources, providing functions such as paper search, metadata acquisition, and PDF download through the Model Context Protocol.