# CRF Annotation MCP Server

> Use this tool when you need to access and query SDTM annotations from annotated CRF PDFs, solving data extraction and annotation challenges in clinical trials and research studies. It takes annotated CRF PDFs as input and outputs relevant SDTM annotations, enabling AI assistants to retrieve specific data points. Ideal for use cases requiring efficient and accurate annotation retrieval in clinical research and data analysis contexts.

Canonical page: https://skillsregistry.net/skills/vikasgaddu1-crf-annotation-mcp  
JSON: https://api.skillsregistry.net/v1/skills/vikasgaddu1-crf-annotation-mcp

## Description

Enables AI assistants to query SDTM annotations from annotated CRF PDFs.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **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/eiktmej4pm)
- **Repository:** <https://github.com/vikasgaddu1/crf-annotation-mcp>

## 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": "vikasgaddu1-crf-annotation-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vikasgaddu1-crf-annotation-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vikasgaddu1-crf-annotation-mcp/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