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Pharmacometricians already live in R. What if their AI agent could too? That is the RSNLM E MCP server at work. Not a generic coding assistant guessing its way through R. It is a purpose built agent, wired directly into RSNLM E and the NLM E engine that powers Phoenix.
Hand it a dataset, and it fits the model, runs the goodness of fit checks, and hands back a reproducible R script. No code required from you.
Ask a follow-up and it returns the PML with final parameter estimates, ready to reopen in Model Designer.
Or go further. One prompt, a full population PK analysis, exploratory analysis, base model development, stepwise covariate search, visual predictive checks, all the way to a regulatory ready report, and a QC package your colleagues can rerun and reproduce exactly.
Model Smarter, Not Harder: Introducing Model Designer
If you work in R and NLME today, the RsNLME MCP server is designed to bring this seamless integration straight to your workflow.
