Is io.github.wei-ai-lab/clinical-trial-design safe to use?

io.github.wei-ai-lab/clinical-trial-design has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

How do I install io.github.wei-ai-lab/clinical-trial-design?

io.github.wei-ai-lab/clinical-trial-design supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What can io.github.wei-ai-lab/clinical-trial-design do?

io.github.wei-ai-lab/clinical-trial-design provides 9 tools: design_binary, design_continuous, design_survival, design_co_primary, design_multi_population and 4 more. See the full tools list on the server page for descriptions and parameters.

What AI clients work with io.github.wei-ai-lab/clinical-trial-design?

io.github.wei-ai-lab/clinical-trial-design is compatible with claude-desktop, cursor, claude-code. It uses stdio transport.

Is io.github.wei-ai-lab/clinical-trial-design actively maintained?

io.github.wei-ai-lab/clinical-trial-design is actively maintained — last commit was 16 days ago.

io.github.wei-ai-lab/clinical-trial-design

clinical-trial-design

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

9 tools GitHub npm

No known CVEs

No license

Actively maintained

Last commit 16d ago

Works with most clients

Transport: stdio

9 tools · ~1.5k tok

Grade C · 0.8% of 200K ctx

Edit this pageView history

Health

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "io-github-wei-ai-lab-clinical-trial-design": {
      "args": [
        "-y",
        "clinical-trial-design"
      ],
      "command": "npx"
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-wei-ai-lab-clinical-trial-design)](https://mcppedia.org/s/io-github-wei-ai-lab-clinical-trial-design)

Read me

What io.github.wei-ai-lab/clinical-trial-design does

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

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.

npx -y 'clinical-trial-design' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

61/100across 5 weighted dimensions

How we score →

0255075100

−39

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked clinical-trial-design against OSV.dev.

Inventory

Tools (9)

Click any tool to inspect its schema.

~1.5k tokens total

Help improve this page

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Community

Reviews

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How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.wei-ai-lab/clinical-trial-design safe to use?: io.github.wei-ai-lab/clinical-trial-design has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.wei-ai-lab/clinical-trial-design?: io.github.wei-ai-lab/clinical-trial-design supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can io.github.wei-ai-lab/clinical-trial-design do?: io.github.wei-ai-lab/clinical-trial-design provides 9 tools: design_binary, design_continuous, design_survival, design_co_primary, design_multi_population and 4 more. See the full tools list on the server page for descriptions and parameters.
What AI clients work with io.github.wei-ai-lab/clinical-trial-design?: io.github.wei-ai-lab/clinical-trial-design is compatible with claude-desktop, cursor, claude-code. It uses stdio transport.
Is io.github.wei-ai-lab/clinical-trial-design actively maintained?: io.github.wei-ai-lab/clinical-trial-design is actively maintained — last commit was 16 days ago.

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Edit this pageView history

Health

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "io-github-wei-ai-lab-clinical-trial-design": {
      "args": [
        "-y",
        "clinical-trial-design"
      ],
      "command": "npx"
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-wei-ai-lab-clinical-trial-design)](https://mcppedia.org/s/io-github-wei-ai-lab-clinical-trial-design)

Read me

What io.github.wei-ai-lab/clinical-trial-design does

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

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.

npx -y 'clinical-trial-design' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

README

clinical-trial-design

A Claude Code plugin and MCP server for end-to-end clinical trial design.

clinical-trial-design helps biostatisticians and clinical trialists design Phase 2 and Phase 3 confirmatory studies through a conversational interface, backed by validated R packages (gsDesign, gsDesign2, graphicalMCP).

v0.0.13 — pre-beta. Nine MCP tools across single-primary endpoint design (binary, continuous, time-to-event under PH and four NPH frameworks), multi-hypothesis design (co-primary, multi-population, graphical multiplicity / Maurer-Bretz), Monte-Carlo verification, and Word/PDF reporting. Reasoning-chain schema with sponsor-confidential redaction. Operational kernel solves accrual ↔ duration ↔ N, plus optional max_n / max_duration feasibility warnings. 288/288 R tests, 18/18 MCP smoke. Published to npm (clinical-trial-design) and the official MCP registry (io.github.wei-ai-lab/clinical-trial-design). Full change history in CHANGELOG.md; API contract in API_STABILITY.md.

What it is

clinical-trial-design has four layers:

Layer	Role
R package (`r-package/ClinicalTrialDesign`)	Pure R statistical computation engine. Wraps and extends established packages (`gsDesign`, `gsDesign2`, `graphicalMCP`, `simtrial`) behind a unified result schema.
MCP server (`mcp-server/`)	Exposes the R functions as typed tools over the Model Context Protocol so Claude Code — or any MCP client — can call them.
Skill (`skills/clinical-trial-design/`)	Domain-expert prompt. Translates a user's design brief into the right tool calls and interprets results in clinical-trial terms; includes a 9-step Phase 3 orchestration workflow with waypoints.
Benchmark corpus (`benchmarks/`)	176 curated public-trial designs across 21 family directories. Each case is human-readable Markdown plus machine-readable YAML with expected outputs and tolerances.

Plus an eval harness under eval/ (11 reproducible scenarios × six scoring dimensions × multi-vendor Claude family) and an examples gallery under examples/ (5 published trials reproduced end-to-end).

What clinical-trial-design actually computes

Family	Status
Fixed-sample binary	✅ super / NI / equivalence
Fixed-sample continuous	✅ super / NI / equivalence
Fixed-sample TTE — PH log-rank	✅ super / NI
Fixed-sample TTE — NPH MaxCombo / RMST / milestone	✅ superiority
Group-sequential binary / continuous	✅ super / NI; futility via `test.type`
Group-sequential TTE — PH	✅ super / NI; events via Schoenfeld + OBF inflation by default (regulatory-defensible; `events_calc` selector)
Group-sequential TTE — NPH (MaxCombo / WLR / AHR)	✅ superiority
Multi-hypothesis — co-primary endpoints	✅ fixed-sequence / alpha-split / Bonferroni
Multi-hypothesis — multi-population (subgroup + ITT)	✅ nested or disjoint relations
Multi-hypothesis — graphical (Maurer-Bretz)	✅ initial weights + transition matrix + Rule-3 validator
Adaptive (SSR, enrichment, selection)	⏳ corpus has cases; wrappers are roadmap
MAMS / platform / basket / umbrella	⏳ corpus has cases; wrappers are roadmap

Status

Layer	State
R package	✅ 288/288 testthat
MCP server	✅ 9 tools over stdio, esbuild bundle, 18/18 smoke
Skill	✅ 9-step Phase 3 orchestration workflow + waypoints
Benchmark corpus	✅ 176 curated public-trial cases / 21 families
Plugin manifest	✅ `.claude-plugin/plugin.json` + `marketplace.json`
npm package	✅ `clinical-trial-design@0.0.13` published 2026-04-29
Official MCP registry	✅ `io.github.wei-ai-lab/clinical-trial-design`
CI release-gate	✅ `.github/workflows/release-gate.yml` (R tests + R CMD check + MCP build/smoke + scenario validation)
LLM benchmark harness	✅ 11 scenarios × 6-dimension rubric (`eval/`)
Pre-beta hand-off	✅ items tracke

... View full README on GitHub

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

61/100across 5 weighted dimensions

How we score →

0255075100

−39

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked clinical-trial-design against OSV.dev.

Inventory

Tools (9)

Click any tool to inspect its schema.

~1.5k tokens total

Help improve this page

This server is missing a description.If you've used it, help the community.

Add information

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.wei-ai-lab/clinical-trial-design safe to use?: io.github.wei-ai-lab/clinical-trial-design has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.wei-ai-lab/clinical-trial-design?: io.github.wei-ai-lab/clinical-trial-design supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can io.github.wei-ai-lab/clinical-trial-design do?: io.github.wei-ai-lab/clinical-trial-design provides 9 tools: design_binary, design_continuous, design_survival, design_co_primary, design_multi_population and 4 more. See the full tools list on the server page for descriptions and parameters.
What AI clients work with io.github.wei-ai-lab/clinical-trial-design?: io.github.wei-ai-lab/clinical-trial-design is compatible with claude-desktop, cursor, claude-code. It uses stdio transport.
Is io.github.wei-ai-lab/clinical-trial-design actively maintained?: io.github.wei-ai-lab/clinical-trial-design is actively maintained — last commit was 16 days ago.