Turning a paper into a conversational agent: reading the Paper2Agent report
According to a Nature news report, Paper2Agent reads a paper's main text, code and data sets, deposits them on an MCP server, and has a team of AI agents autonomously build tools that apply the paper's methods, producing a paper-specific agent that can be questioned in plain language as a 'virtual corresponding author'; the report says it created an agent for the AlphaGenome paper in about 45 minutes at US$14 of computing cost, that the agent answered genetics questions with near-perfect accuracy and outscored other top biomedical AI agents including Biomni, and that it was used to re-examine which causal gene explains a single-letter DNA change linked to 'bad' cholesterol, arriving at a different gene from the one pinpointed in the original paper.