About Huggingface Daily Paper MCP
Huggingface Daily Paper MCP is an MCP server published by jianjungki in the AI category: a Model Context Protocol (MCP) server that provides read-only access to the Hugging Face Hub's papers. It has been installed 0 times through Conduid.
Six months or more without a commit doesn't mean the server is broken, but check the open issues (0) before depending on it in production.
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npx huggingface-daily-paper-mcpThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
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README
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
-
get_papers_by_date
- Description: Get HuggingFace papers for a specific date
- Parameters:
date(YYYY-MM-DD format)
-
get_today_papers
- Description: Get today's HuggingFace papers
- Parameters: None
-
get_yesterday_papers
- Description: Get yesterday's HuggingFace papers
- Parameters: None
Resources
-
papers://today
- Today's papers JSON data
-
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...",
"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
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
README mirrored from the source repository 3 months ago. The original is authoritative.