---
title: "Stanford's Paper2Agent turns research papers into working AI agents"
url: https://www.parallelquant.com/posts/stanford-s-paper2agent-turns-research-papers-into-working-ai-agents-ac9393
source_name: "MarkTechPost"
source_url: https://www.marktechpost.com/2026/09/16/stanford-researchers-release-paper2agent-turning-research-papers-into-ai-agents-that-reproduce-results-and-run-on-new-data/
published: 2026-09-16T21:59:26.000Z
topics: ["research", "open source"]
publisher: "Parallel Quant"
---

# Stanford's Paper2Agent turns research papers into working AI agents

*2026-09-16 · Source: [MarkTechPost](https://www.marktechpost.com/2026/09/16/stanford-researchers-release-paper2agent-turning-research-papers-into-ai-agents-that-reproduce-results-and-run-on-new-data/)*

Stanford researchers published Paper2Agent in Nature, a system that converts research papers into validated Model Context Protocol (MCP) tools that can reproduce a paper's results and run on new data. It scored 91.2% on a benchmark of 300 questions spanning 74 papers.

**Why it matters:** Turning static papers into runnable, queryable agents could speed up how researchers verify and build on prior work, addressing reproducibility problems in computational science. It's also a concrete, peer-reviewed example of the "paper-to-agent" pattern that MCP tooling has made newly practical.

**Topics:** research, open source

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Read the original: https://www.marktechpost.com/2026/09/16/stanford-researchers-release-paper2agent-turning-research-papers-into-ai-agents-that-reproduce-results-and-run-on-new-data/
Canonical: https://www.parallelquant.com/posts/stanford-s-paper2agent-turns-research-papers-into-working-ai-agents-ac9393
Published by Parallel Quant — https://www.parallelquant.com