HuggingFace Daily Papers MCP Server

A MCP (Model Context Protocol) server for fetching HuggingFace daily papers.

Features

• Fetch today's, yesterday's or specific date HuggingFace papers
• Provides paper title, authors, abstract, tags, votes, and submitted by info
• Includes paper links and PDF download links
• Supports MCP tools and resource interfaces
• ArXiv integration for complete author lists
• Complete error handling and logging
• Comprehensive test coverage

Installation & Usage

Option 1: Direct execution with uvx (Recommended)

Install and run directly using uvx:

uvx huggingface-daily-paper-mcp

This will automatically install the package and its dependencies, then start the MCP server.

Option 2: Local development

For local development, clone the repository and install dependencies:

git clone https://github.com/huangxinping/huggingface-daily-paper-mcp.git
cd huggingface-daily-paper-mcp
uv sync

Local usage commands

Run as MCP Server (for development):

python main.py

Test Scraper Function:

python scraper.py

Run Tests:

uv run -m pytest test_mcp_server.py -v

Build Package:

uv build

MCP Interface

Tools

1. get_papers_by_date

   • Description: Get HuggingFace papers for a specific date
   • Parameters: date (YYYY-MM-DD format)

2. get_today_papers

   • Description: Get today's HuggingFace papers
   • Parameters: None

3. get_yesterday_papers

   • Description: Get yesterday's HuggingFace papers
   • Parameters: None

Resources

1. papers://today

   • Today's papers JSON data

2. papers://yesterday

   • Yesterday's papers JSON data

Project Structure

huggingface-daily-paper-mcp/
├── main.py                    # MCP server main program
├── scraper.py                 # HuggingFace papers scraper module
├── test_mcp_server.py         # MCP server test cases
├── README.md                  # Project documentation
├── .gitignore                 # Git ignore file
├── pyproject.toml             # Project configuration file
└── uv.lock                    # Dependency lock file

Tech Stack

• Python 3.10+: Programming language
• MCP: Model Context Protocol framework
• Requests: HTTP request library
• BeautifulSoup4: HTML parsing library
• pytest: Testing framework
• uv: Python package manager

Development Standards

• Use uv native commands for package management
• Follow Python PEP 8 coding standards
• Include type hints and docstrings
• Complete error handling and logging
• Write unit tests to ensure code quality

Example Output

Single paper data structure:

{
  "title": "CMPhysBench: A Benchmark for Evaluating Large Language Models in Condensed Matter Physics",
  "authors": ["Weida Wang", "Dongchen Huang", "Jiatong Li", "..."],
  "abstract": "CMPhysBench evaluates LLMs in condensed matter physics using calculation problems...",
  "tags": ["machine-learning", "physics"],
  "url": "https://huggingface.co/papers/2508.18124",
  "pdf_url": "https://arxiv.org/pdf/2508.18124.pdf",
  "votes": 15,
  "submitted_by": "researcher123",
  "scraped_at": "2025-08-27T10:30:00.123456"
}

MCP Tool output format:

Title: CMPhysBench: A Benchmark for Evaluating Large Language Models in Condensed Matter Physics
Authors: Weida Wang, Dongchen Huang, Jiatong Li, Tengchao Yang, Ziyang Zheng...
Abstract: CMPhysBench evaluates LLMs in condensed matter physics using calculation problems...
URL: https://huggingface.co/papers/2508.18124
PDF: https://arxiv.org/pdf/2508.18124.pdf
Tags: machine-learning, physics
Votes: 15
Submitted by: researcher123
--------------------------------------------------

AI IDE/CLI Configuration

Claude Code (CLI)

Add to your MCP configuration:

{
  "mcpServers": {
    "huggingface-papers": {
      "command": "uvx",
      "args": ["huggingface-daily-paper-mcp"]
    }
  }
}

Cursor IDE

Add to your .cursorrules or MCP settings:

{
  "mcp": {
    "servers": {
      "huggingface-papers": {
        "command": "uvx",
        "args": ["huggingface-daily-paper-mcp"],
        "env": {}
      }
    }
  }
}

Windsurf IDE

Add to your Windsurf MCP configuration:

{
  "mcpServers": {
    "huggingface-papers": {
      "command": "uvx",
      "args": ["huggingface-daily-paper-mcp"]
    }
  }
}

VS Code with Continue Extension

Add to your continue configuration:

{
  "mcp": {
    "servers": {
      "huggingface-papers": {
        "command": "uvx",
        "args": ["huggingface-daily-paper-mcp"]
      }
    }
  }
}

Other MCP-Compatible Tools

For any MCP-compatible client, use:

# Command
uvx huggingface-daily-paper-mcp

# Or with Python path
python -m main

License

MIT License