Kagi MCP Server

[![Twitter Follow](https://img.shields.io/twitter/follow/JoeBlazick?style=social)](https://twitter.com/JoeBlazick) [![smithery badge](https://smithery.ai/badge/arxiv-mcp-server)](https://smithery.ai/server/arxiv-mcp-server) [![Python Version](https://img.shields.io/badge/python-3.11+-blue.svg)](https://www.python.org/downloads/) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) [![PyPI Downloads](https://img.shields.io/pypi/dm/arxiv-mcp-server.svg)](https://pypi.org/project/arxiv-mcp-server/) [![PyPI Version](https://img.shields.io/pypi/v/arxiv-mcp-server.svg)](https://pypi.org/project/arxiv-mcp-server/) # ArXiv MCP Server > ๐Ÿ” Enable AI assistants to search and access arXiv papers through a simple MCP interface. The ArXiv MCP Server provides a bridge between AI assistants and arXiv's research repository through the Message Control Protocol (MCP). It allows AI models to search for papers and access their content in a programmatic way. <div align="center"> ๐Ÿค **[Contribute](https://github.com/blazickjp/arxiv-mcp-server/blob/main/CONTRIBUTING.md)** โ€ข ๐Ÿ“ **[Report Bug](https://github.com/blazickjp/arxiv-mcp-server/issues)** </div> ## โœจ Core Features - ๐Ÿ”Ž **Paper Search**: Query arXiv papers with filters for date ranges and categories - ๐Ÿ“„ **Paper Access**: Download and read paper content - ๐Ÿ“‹ **Paper Listing**: View all downloaded papers - ๐Ÿ—ƒ๏ธ **Local Storage**: Papers are saved locally for faster access - ๐Ÿ“ **Prompts**: A Set of Research Prompts ## ๐Ÿš€ Quick Start ### Installing via Smithery To install ArXiv Server for Claude Desktop automatically via [Smithery](https://smithery.ai/server/arxiv-mcp-server): ```bash npx -y @smithery/cli install arxiv-mcp-server --client claude ``` ### Installing Manually Install using uv: ```bash uv tool install arxiv-mcp-server ``` For development: ```bash # Clone and set up development environment git clone https://github.com/blazickjp/arxiv-mcp-server.git cd arxiv-mcp-server # Create and activate virtual environment uv venv source .venv/bin/activate # Install with test dependencies uv pip install -e ".[test]" ``` ### ๐Ÿ”Œ MCP Integration Add this configuration to your MCP client config file: ```json { "mcpServers": { "arxiv-mcp-server": { "command": "uv", "args": [ "tool", "run", "arxiv-mcp-server", "--storage-path", "/path/to/paper/storage" ] } } } ``` For Development: ```json { "mcpServers": { "arxiv-mcp-server": { "command": "uv", "args": [ "--directory", "path/to/cloned/arxiv-mcp-server", "run", "arxiv-mcp-server", "--storage-path", "/path/to/paper/storage" ] } } } ``` ## ๐Ÿ’ก Available Tools The server provides four main tools: ### 1. Paper Search Search for papers with optional filters: ```python result = await call_tool("search_papers", { "query": "transformer architecture", "max_results": 10, "date_from": "2023-01-01", "categories": ["cs.AI", "cs.LG"] }) ``` ### 2. Paper Download Download a paper by its arXiv ID: ```python result = await call_tool("download_paper", { "paper_id": "2401.12345" }) ``` ### 3. List Papers View all downloaded papers: ```python result = await call_tool("list_papers", {}) ``` ### 4. Read Paper Access the content of a downloaded paper: ```python result = await call_tool("read_paper", { "paper_id": "2401.12345" }) ``` ## โš™๏ธ Configuration Configure through environment variables: | Variable | Purpose | Default | |----------|---------|---------| | `ARXIV_STORAGE_PATH` | Paper storage location | ~/.arxiv-mcp-server/papers | ## ๐Ÿงช Testing Run the test suite: ```bash python -m pytest ``` ## ๐Ÿ“„ License Released under the MIT License. See the LICENSE file for details. --- <div align="center"> Made with โค๏ธ by the Pear Labs Team <a href="https://glama.ai/mcp/servers/04dtxi5i5n"><img width="380" height="200" src="https://glama.ai/mcp/servers/04dtxi5i5n/badge" alt="ArXiv Server MCP server" /></a> </div>