pediatric-drug-safety

name: pediatric_drug_safety description: "Pediatric Drug Safety Review - Evaluate pediatric drug safety: pediatric use info, child safety, dosage forms, and overdosage info from FDA. Use this skill for pediatric pharmacology tasks involving get pediatric use info by drug name get child safety info by drug name get dosage forms and strengths by drug name get overdosage info by drug name. Combines 4 tools from 1 SCP server(s)."

Pediatric Drug Safety Review

Discipline: Pediatric Pharmacology | Tools Used: 4 | Servers: 1

Description

Evaluate pediatric drug safety: pediatric use info, child safety, dosage forms, and overdosage info from FDA.

Tools Used

• get_pediatric_use_info_by_drug_name from fda-drug-server (streamable-http) - https://scp.intern-ai.org.cn/api/v1/mcp/14/Origene-FDADrug
• get_child_safety_info_by_drug_name from fda-drug-server (streamable-http) - https://scp.intern-ai.org.cn/api/v1/mcp/14/Origene-FDADrug
• get_dosage_forms_and_strengths_by_drug_name from fda-drug-server (streamable-http) - https://scp.intern-ai.org.cn/api/v1/mcp/14/Origene-FDADrug
• get_overdosage_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 pediatric use info
2. Get child safety info
3. Get dosage forms
4. Get overdosage info

Test Case

Input

{
    "drug_name": "amoxicillin"
}

Expected Steps

1. Get pediatric use info
2. Get child safety info
3. Get dosage forms
4. Get overdosage 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.

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 pediatric use info
    result_1 = await sessions["fda-drug-server"].call_tool("get_pediatric_use_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 child safety info
    result_2 = await sessions["fda-drug-server"].call_tool("get_child_safety_info_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 dosage forms
    result_3 = await sessions["fda-drug-server"].call_tool("get_dosage_forms_and_strengths_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 overdosage info
    result_4 = await sessions["fda-drug-server"].call_tool("get_overdosage_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())