A MCP server for searching and downloading academic papers from multiple sources.
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# Academic Search MCP A Model Context Protocol (MCP) server for searching and downloading academic papers from multiple sources. Designed for seamless integration with large language models like Claude Desktop. > **Fork Notice**: This is an extended fork of [openags/academic-search-mcp](https://github.com/openags/academic-search-mcp) with additional platforms (CORE, SSRN, CyberLeninka) and improvements.   --- ## Table of Contents - [Overview](#overview) - [Features](#features) - [Installation](#installation) - [Quick Start](#quick-start) - [Install Package](#install-package) - [Configure Claude Desktop](#configure-claude-desktop) - [For Development](#for-development) - [Setup Environment](#setup-environment) - [Install Dependencies](#install-dependencies) - [Contributing](#contributing) - [Demo](#demo) - [License](#license) - [TODO](#todo) --- ## Overview `academic-search-mcp` is a Python-based MCP server that enables users to search and download academic papers from various platforms. It provides tools for searching papers (e.g., `search_arxiv`) and downloading PDFs (e.g., `download_arxiv`), making it ideal for researchers and AI-driven workflows. Built with the MCP Python SDK, it integrates seamlessly with LLM clients like Claude Desktop. --- ## Features - **Multi-Source Support**: Search and download papers from arXiv, PubMed, bioRxiv, medRxiv, Google Scholar, IACR ePrint Archive, Semantic Scholar, CrossRef, OpenAlex, CORE, SSRN, and CyberLeninka. - **Date Filtering**: All sources support `date_from` and `date_to` parameters (YYYY-MM-DD format) to filter papers by publication date. - **Citation Counts**: OpenAlex, Semantic Scholar, CrossRef, and Google Scholar include citation counts in search results. - **Citation Graph**: OpenAlex tools to explore references (papers a work cites) and citations (papers citing …
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