Paper2Agent in Nature converts research papers into MCP-based AI agents automatically
ValerioCapraro · x · 2026-09-17
Jiacheng Miao, Joe R. Davis, Jonathan K. Pritchard and James Zou publish Paper2Agent in Nature: an automated framework that turns research papers into AI agents.
- Core idea: transform papers from passive artefacts into active systems — a "virtual corresponding author" exposing manuscript, supplementary materials, datasets, code and workflows as agent-native knowledge.
- Approach: multiple agents analyze the paper and codebase to build a Model Context Protocol (MCP) server, then generate and run tests to refine and harden the MCP, which connects to a chat agent.
- Impact: dramatically lowers barriers to reproducing analyses and applying published methods to new data.
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