PapersWithCode
Integrates with PapersWithCode API to search and retrieve research papers, authors, conferences, and code implementations in machine learning, with tools for exploring papers by author, extracting PDF content, and accessing associated repositories, datasets, and results.
About
PapersWithCode MCP provides a comprehensive interface to the PapersWithCode API, enabling AI assistants to search and retrieve information about research papers, authors, conferences, and code implementations in machine learning. Built using FastMCP, it offers tools for searching research areas, exploring papers by author, retrieving paper details, and even extracting content directly from PDF papers. The implementation includes pagination support for handling large result sets and provides structured access to repositories, datasets, methods, and results associated with papers, making it valuable for academic research, literature reviews, and staying updated on machine learning advancements.
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