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by hbg • Search & Retrieval
An MCP server that lets AI assistants search, retrieve, and read research papers and related code via the PapersWithCode API.
Search research papers by title, abstract, or arXiv ID and retrieve metadata for downstream summarization or citation.
Fetch readable text from paper PDF/HTML URLs to generate summaries, extract key findings, or answer questions about the paper content.
Find related code repositories, datasets, benchmark results, and conference proceedings to provide reproducibility context or launch follow-up actions.
This MCP server provides a Model Context Protocol client that interfaces with the PapersWithCode API to enable programmatic search and retrieval of papers, authors, datasets, conferences, and associated code repositories. It offers tools to search papers by title/abstract/arXiv ID, fetch paper metadata, extract readable text from paper URLs, and list benchmarks, tasks, methods, repositories, and datasets. Additional tools cover research areas, authors, and conference proceedings to give agents rich contextual information for research tasks. The package is intended to help AI assistants find and read papers and surface linked code for further context.
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