Clinical Trial Drug Profile

---
name: clinical_trial_drug_profile
description: 'Clinical Trial Drug Profiling - Profile drug for clinical trials: FDA
  clinical studies, contraindications, pregnancy info, and geriatric use. Use this
  skill for clinical research tasks involving get clinical studies info by drug name
  get contraindications by drug name get pregnancy effects info by drug name get geriatric
  use info by drug name. Combines 4 tools from 1 SCP server(s).'
i18n:
  zh:
    description: 临床试验药物概况。
---

# Clinical Trial Drug Profiling

**Discipline**: Clinical Research | **Tools Used**: 4 | **Servers**: 1

## Description

Profile drug for clinical trials: FDA clinical studies, contraindications, pregnancy info, and geriatric use.

## Tools Used

- **`get_clinical_studies_info_by_drug_name`** from `fda-drug-server` (streamable-http) - `https://scp.intern-ai.org.cn/api/v1/mcp/14/Origene-FDADrug`
- **`get_contraindications_by_drug_name`** from `fda-drug-server` (streamable-http) - `https://scp.intern-ai.org.cn/api/v1/mcp/14/Origene-FDADrug`
- **`get_pregnancy_effects_info_by_drug_name`** from `fda-drug-server` (streamable-http) - `https://scp.intern-ai.org.cn/api/v1/mcp/14/Origene-FDADrug`
- **`get_geriatric_use_info_by_drug_name`** from `fda-drug-server` (streamable-http) - `https://scp.intern-ai.org.cn/api/v1/mcp/14/Origene-FDADrug`

## Workflow

1. Get clinical studies info
2. Get contraindications
3. Get pregnancy effects
4. Get geriatric use info

## Test Case

### Input
```json
{
    "drug_name": "methotrexate"
}
```

### Expected Steps
1. Get clinical studies info
2. Get contraindications
3. Get pregnancy effects
4. Get geriatric use info

## Usage Example

> **Note:** Replace `<YOUR_SCP_HUB_API_KEY>` with your own SCP Hub API Key. You can obtain one from the [SCP Platform](https://scphub.intern-ai.org.cn).

```python
import asyncio
import json
from mcp import ClientSession
from mcp.client.streamable_http import streamablehttp_client
from mcp.client.sse import sse_client

SERVERS = {
    "fda-drug-server": "https://scp.intern-ai.org.cn/api/v1/mcp/14/Origene-FDADrug"
}

async def connect(url, transport_type):
    transport = streamablehttp_client(url=url, headers={"SCP-HUB-API-KEY": "<YOUR_SCP_HUB_API_KEY>"})
    read, write, _ = await transport.__aenter__()
    ctx = ClientSession(read, write)
    session = await ctx.__aenter__()
    await session.initialize()
    return session, ctx, transport

def parse(result):
    try:
        if hasattr(result, 'content') and result.content:
            c = result.content[0]
            if hasattr(c, 'text'):
                try: return json.loads(c.text)
                except: return c.text
        return str(result)
    except: return str(result)

async def main():
    # Connect to required servers
    sessions = {}
    sessions["fda-drug-server"], _, _ = await connect("https://scp.intern-ai.org.cn/api/v1/mcp/14/Origene-FDADrug", "streamable-http")

    # Execute workflow steps
    # Step 1: Get clinical studies info
    result_1 = await sessions["fda-drug-server"].call_tool("get_clinical_studies_info_by_drug_name", arguments={})
    data_1 = parse(result_1)
    print(f"Step 1 result: {json.dumps(data_1, indent=2, ensure_ascii=False)[:500]}")

    # Step 2: Get contraindications
    result_2 = await sessions["fda-drug-server"].call_tool("get_contraindications_by_drug_name", arguments={})
    data_2 = parse(result_2)
    print(f"Step 2 result: {json.dumps(data_2, indent=2, ensure_ascii=False)[:500]}")

    # Step 3: Get pregnancy effects
    result_3 = await sessions["fda-drug-server"].call_tool("get_pregnancy_effects_info_by_drug_name", arguments={})
    data_3 = parse(result_3)
    print(f"Step 3 result: {json.dumps(data_3, indent=2, ensure_ascii=False)[:500]}")

    # Step 4: Get geriatric use info
    result_4 = await sessions["fda-drug-server"].call_tool("get_geriatric_use_info_by_drug_name", arguments={})
    data_4 = parse(result_4)
    print(f"Step 4 result: {json.dumps(data_4, indent=2, ensure_ascii=False)[:500]}")

    # Cleanup
    print("Workflow complete!")

if __name__ == "__main__":
    asyncio.run(main())
```