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Stanford researchers released Paper2Agent, a system that converts research papers and codebases into MCP server–backed AI agents for reproducible execution on new data

Research publication Provisional 86% confidence first seen

Stanford researchers introduced Paper2Agent, which turns research papers (and associated code) into MCP servers exposing executable tools that AI agents can run. The system is designed to simplify setup and enable users to reproduce and apply published methods on new data via natural-language queries.

Paper2Agent Stanford University AlphaGenome Claude Code Codex Hugging Face Spaces MCP servers MarkTechPost Model Context Protocol (MCP) Nature

Source coverage

Stanford Researchers Release Paper2Agent: Turning Research Papers Into AI Agents That Reproduce Results and Run on New Data MarkTechPost Paper2Agent: turning research papers into working agents Nature Publishing Group UK newsletter

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