A
securityA
licenseA
qualityAn MCP server that provides access to arXiv papers through their API.
Last updated -
4
166
MIT License
The ArXiv MCP Server enables AI assistants to interact with arXiv papers through a programmatic interface. With this server, you can:
Search Papers: Query arXiv with filters for date ranges, categories, and result limits
Download Papers: Retrieve papers by arXiv ID, storing them locally for faster access
List Papers: View all previously downloaded papers stored locally
Read Papers: Access the full content of downloaded papers in markdown format
Research Tools: Utilize specialized prompts like "deep-paper-analysis" for comprehensive paper review
Development: Set up environments and run tests for development purposes
Provides a bridge between AI assistants and arXiv's research repository through the Message Control Protocol (MCP). Allows AI models to search for papers, download and read their content in a programmatic way.
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.
🤝 Contribute • 📝 Report Bug
✨ 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",
"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:
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:
result = await call_tool("download_paper", {
"paper_id": "2401.12345"
})
3. List Papers
View all downloaded papers:
result = await call_tool("list_papers", {})
4. Read Paper
Access the content of a downloaded paper:
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:
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 |
| Paper storage location | ~/.arxiv-mcp-server/papers |
🧪 Testing
Run the test suite:
python -m pytest
📄 License
Released under the MIT License. See the LICENSE file for details.
Made with ❤️ by the Pearl Labs Team
Related MCP Servers
- -securityFlicense-quality🔍 Enable AI assistants to search and access bioRxiv papers through a simple MCP interface. The bioRxiv MCP Server provides a bridge between AI assistants and bioRxiv's preprint repository through the Model Context Protocol (MCP). It allows AI models to search for biology preprints and access theirLast updated -20
- -securityFlicense-quality🔍 Enable AI assistants to search and access medRxiv papers through a simple MCP interface. The medRxiv MCP Server provides a bridge between AI assistants and medRxiv's preprint repository through the Model Context Protocol (MCP). It allows AI models to search for health sciences preprints and acceLast updated -6
- AsecurityAlicenseAqualityAn MCP server that allows Claude AI to search, explore, and compare arXiv papers efficiently through a custom-built local server.Last updated -47MIT License
Appeared in Searches
- A search for literature reviews and academic research resources
- A server for searching research papers, Kaggle datasets, and websites for ML/AI model training data
- Academic paper search and research methodology analysis tool
- A server for finding research information
- A content research and creation service for article writing with SEO optimization