base on A Model Context Protocol server for searching and analyzing arXiv papers [](https://twitter.com/JoeBlazick) [](https://smithery.ai/server/arxiv-mcp-server) [](https://www.python.org/downloads/) [](https://github.com/blazickjp/arxiv-mcp-server/actions/workflows/tests.yml) [](https://opensource.org/licenses/MIT) [](https://pypi.org/project/arxiv-mcp-server/) [](https://pypi.org/project/arxiv-mcp-server/) # ArXiv MCP Server > 🔍 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 Model Context Protocol (MCP). It allows AI models to search for papers and access their content in a programmatic way. <div align="center"> 🤝 **[Contribute](https://github.com/blazickjp/arxiv-mcp-server/blob/main/CONTRIBUTING.md)** • 📝 **[Report Bug](https://github.com/blazickjp/arxiv-mcp-server/issues)** <a href="https://www.pulsemcp.com/servers/blazickjp-arxiv-mcp-server"><img src="https://www.pulsemcp.com/badge/top-pick/blazickjp-arxiv-mcp-server" width="400" alt="Pulse MCP Badge"></a> </div> ## ✨ Core Features - 🔎 **Paper Search**: Query arXiv papers with filters for date ranges and categories - 📄 **Paper Access**: Download and read paper content - 📋 **Paper Listing**: View all downloaded papers - 🗃️ **Local Storage**: Papers are saved locally for faster access - 📝 **Prompts**: A Set of Research Prompts ## 🚀 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]" ``` ### 🔌 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" ] } } } ``` ## 💡 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" }) ``` ## 📝 Research Prompts The server offers specialized prompts to help analyze academic papers: ### Paper Analysis Prompt A comprehensive workflow for analyzing academic papers that only requires a paper ID: ```python result = await call_prompt("deep-paper-analysis", { "paper_id": "2401.12345" }) ``` This prompt includes: - Detailed instructions for using available tools (list_papers, download_paper, read_paper, search_papers) - A systematic workflow for paper analysis - Comprehensive analysis structure covering: - Executive summary - Research context - Methodology analysis - Results evaluation - Practical and theoretical implications - Future research directions - Broader impacts ## ⚙️ Configuration Configure through environment variables: | Variable | Purpose | Default | |----------|---------|---------| | `ARXIV_STORAGE_PATH` | Paper storage location | ~/.arxiv-mcp-server/papers | ## 🧪 Testing Run the test suite: ```bash python -m pytest ``` ## 📄 License Released under the MIT License. See the LICENSE file for details. --- <div align="center"> Made with ❤️ by the Pearl 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> ", Assign "at most 3 tags" to the expected json: {"id":"13276","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"