io.github.wei-ai-lab/clinical-trial-design
Phase 2/3 clinical trial design via gsDesign / gsDesign2: sample size, GS boundaries, multiplicity
MCP server · by wei-ai-lab
About
io.github.wei-ai-lab/clinical-trial-design is an MCP server published by wei-ai-lab. Marketplaces we read that list it: 1 (Official MCP Registry). We first saw it on 2026-10-11 and have recorded no change since. As of our marketplace pass on 2026-10-16.
What it asks for
- Runs on your machine
- Settings: 2
What it declares, asks for and runs, in full
Only install plugins from developers you trust. We list what marketplaces publish and do not test plugins.
Package
npm clinical-trial-design (clinical-trial-design on npm)
- npm downloads/week: 31 (2026-10-12)
- npm downloads/month: 163 (2026-10-12)
- Latest version on npm: 0.0.14, published 2026-05-03
- Declared version 0.0.12 is not listed on npm
npm facts come from the public npm registry (registry.npmjs.org, api.npmjs.org). Each figure is the registry's own and is never added to another. A registry that publishes no figure shows none: no number is not zero.
Works with
- Claude Code
- Codex
- Cursor
- VS Code
- Copilot CLI
A one-click link opens the client, which asks you to confirm before it adds the server.
From the marketplaces that list it and the MCP transport it declares, as each client documents them. We do not test plugins.
Connect
Commands and configs built only from what its marketplaces declare. We do not run them for you and do not test plugins.
As a local MCP server: npm package
Built from what Official MCP Registry declares.
claude mcp add --transport stdio clinical-trial-design -- npx -y clinical-trial-design[mcp_servers.clinical-trial-design]
command = "npx"
args = ["-y", "clinical-trial-design"]{
"mcpServers": {
"clinical-trial-design": {
"command": "npx",
"args": [
"-y",
"clinical-trial-design"
]
}
}
}Optional settings it also lists: DESIGNR_LAUNCHER, DESIGNR_RSCRIPT.
Where it is published
| Marketplace | Status | Version | Figures | Verified | First seen |
|---|---|---|---|---|---|
| Official MCP Registry (Open the registry record) | Listed | 0.0.12 | Downloads/month (npm): 163 Downloads/week (npm): 31 Forks (GitHub): 0 Stars (GitHub): 2 |
Not marked |
Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.
What changed
Nothing has moved on this plugin since we started watching it.
Similar plugins
Products whose own names, descriptions, tools and skills are closest in meaning to this one, on every marketplace we read. Closeness is ranked within this list only.
-
Clinical trial simulation plugin supporting simtrial (time-to-event) and Mediana (CSE) frameworks for power analysis, sample size determination, group sequential designs, and…
-
clinical-trials-ai-mcp io.github.CSOAI-ORG/clinical-trials-ai-mcp
Clinical Trials Ai MCP Server by MEOK AI Labs
-
Design rigorous experiments to validate research hypotheses.
-
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation…
-
Hypothesis testing, A/B experiment analysis, sample size calculation, and confidence intervals. 3 stdlib-only Python tools: Z-test/t-test/chi-square with effect sizes, sample size…
-
Execute clinical-trial-matcher-mcp
Premium agentic endpoint for clinical-trial-matcher-mcp.
-
Live ClinicalTrials.gov oncology trial comparison around an asset, plus landscapes and CI briefings.
-
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation…
-
AI-powered bioprotocol optimization — generate, search, and manage lab protocols via MCP
-
Execute clinical-phase-analyzer-mcp
Premium agentic endpoint for clinical-phase-analyzer-mcp.
Similar plugins by marketplace
The same question asked of one marketplace at a time: is there an analog of this plugin there?
Has a listing on Claude Code: claude-plugins-community (5)
-
A causal inference plugin for AI agents. Describe a problem in plain language and it helps you choose a method, check assumptions, write the analysis in R or Python, and…
-
197 ready-to-use life sciences skills that turn Claude into a domain expert for genomics, proteomics, drug discovery, biostatistics, scientific computing, and scientific writing…
-
Predict structures, screen molecules and proteins, and design binders with Boltz from Claude Code.
-
Research sprint orchestrator for Claude Code. Ask a question, get a decision-ready brief — every finding is tracked as a typed claim, adversarially challenged, confidence-graded…
-
Generate A/B testing infrastructure and analysis
Has a listing on Claude Code: claude-plugins-official (5)
-
Predict structures, screen molecules and proteins, and design binders with Boltz from Claude Code.
-
A suite of agent skills for the full GrowthBook feature flag and experimentation lifecycle.
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Find the right NVIDIA skill for GPU acceleration, CUDA, AI agents, data loading, training, inference, robotics, Physical AI, Omniverse, simulation, and other NVIDIA-powered…
-
Access Confidence feature flags, experiments, and migration tools directly from Claude Code.
Has a listing on Claude: knowledge-work-plugins (5)
-
Connect to preclinical research tools and databases (literature search, genomics analysis, target prioritization) to accelerate early-stage life sciences R&D
-
Evidence-backed BioPharma research workflows over Maven Bio's drug, trial, company, and deal knowledge graph. Skills for competitive pipelines, indication landscapes, asset…
-
A suite of agent skills for the full GrowthBook feature flag and experimentation lifecycle.
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Figma design platform integration. Access design files, extract component information, read design tokens, and translate designs into code. Bridge the gap between design and…
Has a listing on Codex: openai-curated (openai/plugins) (5)
-
Predict structures, screen molecules and proteins, and design binders.
-
General life-sciences research workflows with query routing, evidence synthesis, and optional parallel subagent analysis across genetics, omics, biology, chemistry, structure…
-
Guided NGS intake, local execution, and public-pipeline routing for BCL, FASTQ, DNA variant, RNA-seq, single-cell, epigenomics, amplicon, and metagenomics analyses, with deeper…
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
Has a listing on Community GitHub marketplaces (5)
-
Clinical trial simulation plugin supporting simtrial (time-to-event) and Mediana (CSE) frameworks for power analysis, sample size determination, group sequential designs, and…
-
Design rigorous experiments to validate research hypotheses.
-
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation…
-
Hypothesis testing, A/B experiment analysis, sample size calculation, and confidence intervals. 3 stdlib-only Python tools: Z-test/t-test/chi-square with effect sizes, sample size…
-
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation…
Has a listing on Copilot CLI: github/awesome-copilot (5)
-
Safe BLE diagnostics, evidence workflows, and guarded automation for AI agents.
-
Figma design platform integration. Access design files, extract component information, read design tokens, and translate designs into code. Bridge the gap between design and…
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
Visualizes live session AI-credit usage as a Pac-Man board with pellets, ghosts, fruit milestones, and game-over limits.
-
Comprehensive collection for building declarative agents with Model Context Protocol integration for Microsoft 365 Copilot
Has a listing on Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
Build Power Apps Canvas Apps using the Canvas Authoring MCP server.
-
Build and manage Microsoft Dataverse solutions using natural language. Includes table/column creation, solution lifecycle, data operations, and MCP server configuration.
-
model-apps
Build and deploy Power Apps generative pages for model-driven apps with specialist agents for planning, entity creation, and parallel code generation. Requires PAC CLI >= 2.7.0…
-
mcp-apps
Generate MCP App widgets for MCP tools. Produces self-contained HTML widgets using the MCP Apps protocol.
Has a listing on Cursor: cursor/plugins (5)
-
Inspect and manage feature gates, experiments, dynamic configs, and metrics.
-
Work with PostHog from chat: query product analytics and run SQL, manage feature flags and experiments, triage error tracking issues, and review session replays, surveys, and…
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
-
CLI-backed repo compatibility scans plus agents that audit startup, validation, and docs against reality.
Has a listing on Docker MCP Catalog (5)
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
Sequential Thinking (Reference)
Dynamic and reflective problem-solving through thought sequences.
-
Generate, run, debug lifescience workflows.
-
The Official Model Context Protocol (MCP) server for Kagi Search & other tools.
-
Wayfound’s MCP server allows business users to govern, supervise, and improve AI Agents.
Has a listing on Official MCP Registry (5)
-
clinical-trials-ai-mcp io.github.CSOAI-ORG/clinical-trials-ai-mcp
Clinical Trials Ai MCP Server by MEOK AI Labs
-
Execute clinical-trial-matcher-mcp
Premium agentic endpoint for clinical-trial-matcher-mcp.
-
Live ClinicalTrials.gov oncology trial comparison around an asset, plus landscapes and CI briefings.
-
AI-powered bioprotocol optimization — generate, search, and manage lab protocols via MCP
-
Execute clinical-phase-analyzer-mcp
Premium agentic endpoint for clinical-phase-analyzer-mcp.
Found by meaning, not by shared code or a shared repository: similar plugins stay separate products, and this is not a review or a recommendation.
Want this mark on your plugin in our catalog?
Prove you maintain it with a file in its repository, a file on your domain or a DNS record, and you can show this mark on the card, with live banners for your site and README. How verification works
You also get alerts when a marketplace lists it, drops it, changes its verified mark or what it asks for, and its remote endpoint goes on monitoring as a web service.
Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.