Huggingface Daily Papers MCP Server

@huangxinping

代码仓库

基本信息

分类

AI 与智能体

传输方式

stdio

作者

huangxinping

提交者

黄新平

关于 Huggingface Daily Papers MCP Server

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

#huggingface#paper

Huggingface Daily Papers MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Huggingface Daily Papers MCP Server 工具

Get HuggingFace daily papers for a specific date

Get today's HuggingFace daily papers

Get yesterday's HuggingFace daily papers

概览

What is Huggingface Daily Papers?

Huggingface Daily Papers is a Model Context Protocol (MCP) server that fetches daily papers from Hugging Face. It provides tools and resources to retrieve papers for today, yesterday, or a specific date, including title, authors, abstract, tags, votes, and download links. The server is intended for AI developers and agents using MCP-compatible clients (e.g., Claude Code, Cursor IDE) to stay current with machine learning research.

How to use Huggingface Daily Papers?

Install and run directly using uvx huggingface-daily-paper-mcp (recommended) or clone the repository for local development. The server runs as an MCP server via python main.py. Configuration is done by adding the server to your MCP client settings (e.g., in Claude Code, Cursor, Windsurf, or VS Code Continue) with the command uvx and argument ["huggingface-daily-paper-mcp"].

Key features of Huggingface Daily Papers

Fetch papers for today, yesterday, or any date (YYYY-MM-DD).
Returns title, authors, abstract, tags, votes, and submitter.
Includes paper URL and PDF download link.
Exposes MCP tools (get_papers_by_date, get_today_papers, get_yesterday_papers).
Provides MCP resources (papers://today, papers://yesterday).
ArXiv integration for complete author lists.

Use cases of Huggingface Daily Papers

Stay updated with the latest Hugging Face daily papers.
Integrate paper fetching into AI coding assistants like Claude Code or Cursor.
Automate retrieval and analysis of recent machine learning research.
Build custom dashboards or notification systems for specific paper tags.

常见问题

What tools does the server provide?

Three tools: `get_papers_by_date` (with a date parameter in YYYY-MM-DD format), `get_today_papers`, and `get_yesterday_papers` (both with no parameters).

What resources does the server expose?

Two resources: `papers://today` and `papers://yesterday`, returning today's and yesterday's papers as JSON data.

What are the runtime requirements?

Python 3.10+ and dependencies: MCP, Requests, BeautifulSoup4, pytest, and uv (package manager). The server uses `uvx` for direct execution.

How do I install the server?

Run `uvx huggingface-daily-paper-mcp` in your terminal. For local development, clone the repository and use `uv sync`.

How do I configure the server for Claude Code?

Add to your MCP configuration under `mcpServers` with `"command": "uvx"` and `"args": ["huggingface-daily-paper-mcp"]`.

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