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Paper2Agent is a system that automatically transforms research papers into functional AI agents by extracting code and methods into MCP servers. You can use it through a skill in Claude Code or Codex to convert any paper's codebase into interactive tools.
- The system coordinates parallel specialist agents to extract scientific papers into reliable MCP servers with minimal manual setup
- You install the skill, point it at a paper URL and code repository, and it generates tested MCP tools ready to connect to your coding agent
- Three working examples (AlphaGenome, TISSUE, Scanpy) show agents handling genomic analysis, spatial transcriptomics, and single-cell preprocessing tasks with specific scientific queries