Clinical-trial-design MCP Server

Phase 2/3 clinical trial design via gsDesign / gsDesign2: sample size, GS boundaries, multiplicity

Local serverstdio

What is the Clinical-trial-design MCP Server?

Clinical-trial-design is an MCP integration. Phase 2/3 clinical trial design via gsDesign / gsDesign2: sample size, GS boundaries, multiplicity.

Packages and local setup

The published npm package is clinical-trial-design, version 0.0.12. Its declared MCP transport is stdio.

The package declares DESIGNR_RSCRIPT: Optional override for the Rscript binary path. Defaults to whatever 'Rscript' resolves to on the system PATH. Set this if R isn't on PATH or you need a specific R version.; DESIGNR_LAUNCHER: Optional override for the R launcher path (the inst/launcher.R that sources the R sources and dispatches the JSON). Defaults to the bundled launcher. Set this only if you need to use a non-bundled R source tree..

Before connecting

Check the maintainer’s instructions for account access, authentication and the supported client configuration. Once connected, inspect the tools your client receives and try a small task that matches the server’s stated purpose. The registry description does not include a verified, complete tool list.

Project and source

View the publisher’s registry entry · Project repository. This profile uses version 0.0.12 from the registry. Registration identifies the publisher namespace; it does not establish that this is a first-party integration for every service it connects.

Browse related healthcare & life sciences MCP servers for tools that cover the same kind of work.

Configuration

VariableDescriptionRequired
DESIGNR_RSCRIPTOptional override for the Rscript binary path. Defaults to whatever 'Rscript' resolves to on the system PATH. Set this if R isn't on PATH or you need a specific R version.Optional
DESIGNR_LAUNCHEROptional override for the R launcher path (the inst/launcher.R that sources the R sources and dispatches the JSON). Defaults to the bundled launcher. Set this only if you need to use a non-bundled R source tree.Optional