# ClinicalTrials.gov Natural Language API Server

> Use this tool when you need to retrieve clinical trial data using simple, natural language queries instead of complex API parameters. It solves the problem of accessing clinical trial information by translating plain English requests into structured API calls, returning organized and relevant data. The API server accepts natural language inputs and returns structured clinical trial data outputs, making it ideal for users who want to quickly and easily search for clinical trials without needing to learn complex API syntax.

Canonical page: https://skillsregistry.net/skills/huaiyuzhang-clinical-trial-mcp  
JSON: https://api.skillsregistry.net/v1/skills/huaiyuzhang-clinical-trial-mcp

## Description

Enables users to query ClinicalTrials.gov using natural language instead of complex API parameters, translating plain English requests into structured API calls and returning organized clinical trial data.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/p8mm25xzyp)
- **Repository:** <https://github.com/HuaiyuZhang/clinical-trial-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": "huaiyuzhang-clinical-trial-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/huaiyuzhang-clinical-trial-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/huaiyuzhang-clinical-trial-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