GoKawiilPaper2Agent turns research papers into AI agents via Claude Code pipeline
Researchers built Paper2Agent, a system that converts a scientific paper and its accompanying codebase into a functional MCP server accessible through an AI agent interface. It uses a multi-agent architecture built on Claude Code's agent SDK, with a central orchestrator directing specialized sub-agents through a six-step process covering repository discovery, environment setup, tutorial scanning, and execution auditing.
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This approach could make published research immediately usable and interactive rather than static, letting AI agents run and verify code from papers automatically. It addresses a longstanding problem in computational science where reproducing results from papers is time-consuming and error-prone, potentially accelerating how findings are tested, reused, and built upon.
- Paper2Agent transforms static papers and code repositories into interactive MCP servers usable by AI agents.
- The system relies on a multi-agent pipeline with specialized sub-agents handling discovery, setup, and execution steps.
- Automating reproducibility could significantly speed up scientific validation and reuse of published research code.
Source: nature.com — Miao, 2026-09-16
Published there as: “Reimagining research papers as interactive and reliable AI agents”
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