@pipeworx/paperswithcode

Connect: https://gateway.pipeworx.io/paperswithcode/mcp · Install: one-click buttons

Tools: 4

Tools

• search_papers — Search machine-learning / AI research papers (via Hugging Face Papers, the successor to Papers with Code). Returns arXiv id, title, authors, community upvotes, and a linked GitHub repo when available.
• trending_papers — Today’s trending ML/AI papers (or a given day’s), ranked by community upvotes, via Hugging Face Papers. Use for “what are the hot AI papers”, “trending ML research”, “top papers this week”.
• get_paper — Get full detail for a paper by its arXiv id (e.g. “2312.00752”): title, authors, abstract, AI-generated summary and keywords, community upvotes, and counts of linked models / datasets / demo Spaces.
• get_repositories — Find IMPLEMENTATIONS of a paper (by arXiv id): the linked GitHub repository plus the most popular Hugging Face models, demo Spaces, and datasets that implement or reproduce it — the “papers with code”