Reimagining research papers as interactive and reliable AI agents

TL;DR - Paper2Agent converts research papers and their associated code and data into interactive, tool-using AI agents. This could make published work easier to reproduce, query and extend through agent-driven scientific collaboration.

• Uses the Model Context Protocol to expose research artifacts as callable tools.
• Incorporates manuscripts, code and data into the agent’s context.
• Aims to reproduce original results and answer new scientific questions.
• Supports collaboration between paper-derived agents to generate novel insights.