Stanford Researchers Release Paper2Agent: Turning Research Papers Into AI Agents That Reproduce Results and Run on New Data
Stanford researchers released Paper2Agent, a Nature-published pipeline that turns research papers into MCP servers agents can execute.
A Stanford team led by Jiacheng Miao and James Zou published Paper2Agent in Nature on 16 September 2026. Built on Claude Code's agent SDK, it converts a paper and its codebase into a Model Context Protocol server with validated tools, resources, and prompts. In benchmarks, the AlphaGenome agent built 22 tools in about 45 minutes for US$14, scored 100% on 15 novel queries versus 78.7% for Claude Code with repository access, and cut median runtime 1.9x. In scale tests, 74 of 100 bioRxiv papers were converted and 593 of 599 proposed tools passed validation.
- Converts papers and codebases into validated MCP servers with tools, resources, and prompts
- AlphaGenome agent: 22 tools built in ~45 minutes for $14, all passed validation
- Scored 100% on 15 novel queries versus 78.7% for Claude Code with repo access
- 74 of 100 bioRxiv papers agentified; 593 of 599 tools validated
- MIT-licensed code with prebuilt servers on Hugging Face Spaces
- Vendors
- Anthropic
- Products
- Claude CodePaper2Agent
- Organizations
- Stanford UniversityNatureHugging Face
- AI models
- Claude Sonnet 4
From the original article
4 min read at marktechpost.com
Paper2Agent, published in Nature, converts papers into validated MCP tools, scoring 91. 2% on 300 questions across 74 papers. The post Stanford Researchers Release Paper2Agent: Turning Research Papers Into AI Agents That Reproduce Results and Run on New Data appeared first on MarkTechPost.
By Asif Razzaq · marktechpost.com
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