paper2agent

Paper2Agent is a Stanford research framework that turns a published paper, along with its code, data, and supplementary material, into an MCP-backed agent capable of answering questions and running the paper's workflows in natural language. The tagged discussion on WindowsForum.com focuses on what this means for developers and research IT teams: rather than another PDF chatbot, Paper2Agent packages a paper's executable methods into a reusable service that AI coding agents can call. Coverage references a Nature paper published September 16 and reporting by Nature and The Register, with the framework reportedly converting a large share of papers into working agents.