paper-search-mcp

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A MCP for searching and downloading academic papers from multiple sources like arXiv, PubMed, bioRxiv, etc.
#ai-scientist #arxiv-papers #mcp-server #paper-search

Overview

paper-search-mcp Introduction

paper-search-mcp is a Model Context Protocol (MCP) server designed for searching and downloading academic papers from multiple sources such as arXiv, PubMed, bioRxiv, and optionally Sci-Hub. It is built to integrate seamlessly with large language models like Claude Desktop.

How to Use

To use paper-search-mcp, install the package using pip, configure it with Claude Desktop, and utilize the provided functions to search for papers and download PDFs from the supported platforms.

Key Features

Key features include multi-source support for academic papers, standardized output format through the Paper class, asynchronous handling of network requests, MCP integration for enhanced context with LLMs, and an extensible design for adding new academic platforms.

Where to Use

paper-search-mcp can be used in academic research, AI-driven workflows, and any application requiring access to a wide range of academic literature from various sources.

Use Cases

Use cases include researchers searching for specific papers, developers integrating academic paper retrieval into applications, and educational tools that require access to scientific literature.

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