arxiv-paper-mcp

# 🧠 arXiv Research Assistant MCP Server [](https://smithery.ai/server/@daheepk/arxiv-paper-mcp) This project is an MCP (Model Context Protocol) server built to interact with the vast arXiv.org paper database. It allows clients like **Claude AI** to search, explore, and compare arXiv papers efficiently — all through a custom-built, local server. It’s built with **Python** and the **FastMCP** framework, and uses **uv** for lightweight package management. <table> <tr> <td> <a href="https://glama.ai/mcp/servers/@daheepk/arxiv-mcp-server"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@daheepk/arxiv-mcp-server/badge" alt="arXiv Research Assistant Server MCP server" /> </a> </td> <td style="vertical-align: top; padding-left: 10px;"> <a href="https://mseep.ai/app/daheepk-arxiv-paper-mcp"> <img src="https://mseep.net/pr/daheepk-arxiv-paper-mcp-badge.png" alt="MseeP.ai Security Assessment Badge" width="140" /> </a> </td> </tr> </table> ## ✨ Features - **🔍 Keyword-based Paper Search** Search arXiv papers by keywords, with options to sort by relevance or most recent. - **📚 Latest Papers by Category** Specify an arXiv category code (e.g., `cs.AI`, `math.AP`) to fetch the most recent papers in that field. - **📄 Paper Details Lookup** Fetch detailed metadata using a paper's arXiv ID: title, authors, abstract, categories, DOI, PDF link, and more. - **🧑‍🔬 Author-based Paper Search** Retrieve a list of papers published by a specific author. - **📊 Trend Analysis (Experimental)** Get an overview of trending keywords or topics based on recent papers in a category (currently uses mock data). - **📝 Summarization Prompt Generator** Dynamically generate prompts that help LLMs summarize a selected paper more effectively. - **🆚 Comparison Prompt Generator** Provide two paper IDs to generate a structured prompt for comparing their content. --- ## 🛠️ Tech Stack - Python 3.11+ - [FastMCP](https://github.com/modelcontextprotocol/fastmcp) - uv (for dependency & environment management) - requests (for API communication) - xml.etree.ElementTree (for parsing XML responses) --- ## 🚀 Getting Started ### Installing via Smithery To install arXiv Research Assistant MCP Server for Claude Desktop automatically via [Smithery](https://smithery.ai/server/arxiv-paper-mcp): ```bash npx -y @smithery/cli install arxiv-paper-mcp --client claude ``` ### Installation from PyPI ```bash uv pip install arxiv-paper-mcp ``` ### 🔧 Clone the repository (for development) ```bash git clone https://github.com/daheepk/arxiv-mcp-server.git cd arxiv-mcp-server ``` ### 🔧 Install Dependencies (for development) Use `uv` to install all dependencies in editable mode: ```bash uv pip install -e . ``` ## ⚙️ How to Run ### ▶️ Run the server (locally) ```bash arxiv-paper-mcp ``` ## 🔌 Use with Claude To use this MCP server with Claude, add the following JSON configuration to Claude's MCP settings: ```json { "mcpServers": { "arXivPaper": { "command": "uv", "args": [ "tool", "run", "arxiv-paper-mcp" ] } } } ``` ## Project Structure ``` arxiv-mcp-server/ ├── arxiv_mcp/ # Main package │ ├── __init__.py │ ├── app.py # FastMCP app setup │ ├── server.py # Server entry point │ ├── utils.py # arXiv API communication logic │ ├── resources/ # MCP resources (categories, authors, etc.) │ ├── tools/ # MCP tools (search, detail lookup, trends) │ └── prompts/ # Prompt templates (summarize, compare) ├── pyproject.toml # Project config & dependencies └── README.md # This file ```