Huggingface Daily Paper Mcp — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Huggingface Daily Paper Mcp (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
A MCP (Model Context Protocol) server for fetching HuggingFace daily papers.
Install and run directly using uvx:
uvx huggingface-daily-paper-mcpThis will automatically install the package and its dependencies, then start the MCP server.
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 syncRun as MCP Server (for development):
python main.pyTest Scraper Function:
python scraper.pyRun Tests:
uv run -m pytest test_mcp_server.py -vBuild Package:
uv builddate (YYYY-MM-DD format)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 fileSingle 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
--------------------------------------------------Add to your MCP configuration:
{
"mcpServers": {
"huggingface-papers": {
"command": "uvx",
"args": ["huggingface-daily-paper-mcp"]
}
}
}Add to your .cursorrules or MCP settings:
{
"mcp": {
"servers": {
"huggingface-papers": {
"command": "uvx",
"args": ["huggingface-daily-paper-mcp"],
"env": {}
}
}
}
}Add to your Windsurf MCP configuration:
{
"mcpServers": {
"huggingface-papers": {
"command": "uvx",
"args": ["huggingface-daily-paper-mcp"]
}
}
}Add to your continue configuration:
{
"mcp": {
"servers": {
"huggingface-papers": {
"command": "uvx",
"args": ["huggingface-daily-paper-mcp"]
}
}
}
}For any MCP-compatible client, use:
# Command
uvx huggingface-daily-paper-mcp
# Or with Python path
python -m mainMIT License
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