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.

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✨ 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:

npx -y @smithery/cli install arxiv-mcp-server --client claude

Installing Manually

Install using uv:

uv tool install arxiv-mcp-server

For development:

# 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:

{
    "mcpServers": {
        "arxiv-mcp-server": {
            "command": "uv",
            "args": [
                "tool",
                "run",
                "arxiv-mcp-server",
                "--storage-path", "/path/to/paper/storage"
            ]
        }
    }
}

For Development:

{
    "mcpServers": {
        "arxiv-mcp-server": {
            "command": "uv",
    ...