$ loading_
Fetch HuggingFace daily papers and detailed metadata for research tracking.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "HuggingFace Daily Papers MCP Server" yet — see the docs or source repo.
Fetch today's HuggingFace daily papers and organize them into a list with title, authors, tags, votes, and links.
A list of today's papers with key metadata and links for each paper.
Fetch yesterday's HuggingFace daily papers and highlight the papers with abstracts and the highest votes.
Detailed results for yesterday's papers, highlighting the more popular ones.
Retrieve HuggingFace daily papers for 2024-05-01 and output the title, authors, abstract, tags, and source links.
The paper records and detailed metadata for the specified date.
Researchers or students can fetch HuggingFace daily papers for today, yesterday, or a specific date to quickly review recent research topics and paper details. This helps them identify which papers are worth deeper reading.
Developers or knowledge workers can extract titles, authors, abstracts, tags, votes, and links to build an internal tracking list. It is useful for routine information gathering and pre-sharing review.
It can retrieve HuggingFace daily papers metadata including title, authors, abstract, tags, votes, and links. It also supports querying today, yesterday, or a specific date.
Yes. The description states that it can fetch HuggingFace daily papers for today, yesterday, or a specified date.
The provided materials do not include installation steps, runtime requirements, or API key details. For specifics, see the source repository.
Search and retrieve arXiv papers by topic, author, category, or ID.
Search Hugging Face Papers and discover related code repositories quickly.
Search ArXiv papers, inspect details, track categories, and explore author networks.
Search AI/ML papers across arXiv, DBLP, and HuggingFace in one place.
Analyze local paper PDFs rigorously and generate editable maps and research insights.
Search and download academic papers from public sources for AI research workflows.