Wraps the NeKo Python library for building and analyzing biological signaling networks from pathway databases like KEGG, Reactome, and WikiPathways. You get MCP tools to construct networks programmatically, query pathway interactions, and run topology analysis without manually parsing database formats. Reach for this when you're modeling cellular processes in an LLM workflow and need structured access to curated pathway data rather than scraping documentation or wrestling with API endpoints yourself. Ships as part of a trio of systems biology servers (alongside MaBoSS and PhysiCell) that share a single Conda environment, so you can chain network construction with Boolean simulations or agent-based models in the same chat session.
claude mcp add --transport stdio io.github.marcorusc-neko uvx neko