# NIH Research MCP Demo

> Use this tool when you need to interact with synthetic clinical research data, such as searching publications or querying patient metadata, to facilitate analysis and informed decision-making. It solves problems related to clinical research data management, analysis, and protocol guidance retrieval. The tool accepts queries and search terms as input and outputs relevant research data, publications, and guidance.

Canonical page: https://skillsregistry.net/skills/vdeeplearning-nih-research-mcp  
JSON: https://api.skillsregistry.net/v1/skills/vdeeplearning-nih-research-mcp

## Description

Enables interaction with synthetic NIH-style clinical research data through tools for searching publications, querying patient metadata, analyzing AAA measurements, and retrieving protocol guidance.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/b0ydqouizz)
- **Repository:** <https://github.com/vdeeplearning/nih-research-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": "vdeeplearning-nih-research-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vdeeplearning-nih-research-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vdeeplearning-nih-research-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