# CDISC SDTM Validator MCP

> Use this tool when you need to validate CDISC SDTM datasets against standard specifications, solving data consistency and compliance problems in clinical research. It takes SDTM datasets as input and outputs validation reports, checking for required variables, controlled terminology, and full dataset integrity. Ideal for use in clinical data management and regulatory submission contexts.

Canonical page: https://skillsregistry.net/skills/mleary-mcp-cdisc  
JSON: https://api.skillsregistry.net/v1/skills/mleary-mcp-cdisc

## Description

Validates CDISC SDTM datasets against SDTMIG 3.4 specifications, offering tools for required variables, controlled terminology, and full dataset validation with bundled sample datasets.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wi4m2oghu8)
- **Repository:** <https://github.com/mleary/mcp-cdisc>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "mleary-mcp-cdisc"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mleary-mcp-cdisc` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mleary-mcp-cdisc/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt