comparative-drug-analysis

name	comparative_drug_analysis
description	Comparative Drug Analysis - Compare drugs: structure analysis, PubChem data, FDA safety, and ChEMBL bioactivity. Use this skill for comparative pharmacology tasks involving ChemicalStructureAnalyzer get compound by name get adverse reactions by drug name search activity. Combines 4 tools from 4 SCP server(s).

Comparative Drug Analysis

Discipline: Comparative Pharmacology | Tools Used: 4 | Servers: 4

Description

Compare drugs: structure analysis, PubChem data, FDA safety, and ChEMBL bioactivity.

Tools Used

• ChemicalStructureAnalyzer from server-28 (sse) - https://scp.intern-ai.org.cn/api/v1/mcp/28/InternAgent
• get_compound_by_name from pubchem-server (streamable-http) - https://scp.intern-ai.org.cn/api/v1/mcp/8/Origene-PubChem
• get_adverse_reactions_by_drug_name from fda-drug-server (streamable-http) - https://scp.intern-ai.org.cn/api/v1/mcp/14/Origene-FDADrug
• search_activity from chembl-server (streamable-http) - https://scp.intern-ai.org.cn/api/v1/mcp/4/Origene-ChEMBL

Workflow

1. Analyze structures of both drugs
2. Get PubChem data for both
3. Compare FDA safety profiles
4. Compare ChEMBL bioactivity

Test Case

Input

{
    "drug_a": "aspirin",
    "drug_b": "ibuprofen"
}

Expected Steps

1. Analyze structures of both drugs
2. Get PubChem data for both
3. Compare FDA safety profiles
4. Compare ChEMBL bioactivity

Usage Example

Note: Replace sk-b04409a1-b32b-4511-9aeb-22980abdc05c with your own SCP Hub API Key. You can obtain one from the SCP Platform.

import asyncio
import json
from contextlib import AsyncExitStack
from mcp import ClientSession
from mcp.client.streamable_http import streamablehttp_client
from mcp.client.sse import sse_client

SERVERS = {
    "server-28": "https://scp.intern-ai.org.cn/api/v1/mcp/28/InternAgent",
    "pubchem-server": "https://scp.intern-ai.org.cn/api/v1/mcp/8/Origene-PubChem",
    "fda-drug-server": "https://scp.intern-ai.org.cn/api/v1/mcp/14/Origene-FDADrug",
    "chembl-server": "https://scp.intern-ai.org.cn/api/v1/mcp/4/Origene-ChEMBL"
}

async def connect(url, stack):
    transport = streamablehttp_client(url=url, headers={"SCP-HUB-API-KEY": "sk-b04409a1-b32b-4511-9aeb-22980abdc05c"})
    read, write, _ = await stack.enter_async_context(transport)
    ctx = ClientSession(read, write)
    session = await stack.enter_async_context(ctx)
    await session.initialize()
    return session

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:  c.text
         (result)
    :  (result)

  ():
      AsyncExitStack()  stack:
        
        sessions = {}
        sessions[] =  connect(, stack)
        sessions[] =  connect(, stack)
        sessions[] =  connect(, stack)
        sessions[] =  connect(, stack)

        
        
        result_1 =  sessions[].call_tool(, arguments={})
        data_1 = parse(result_1)
        ()

        
        result_2 =  sessions[].call_tool(, arguments={})
        data_2 = parse(result_2)
        ()

        
        result_3 =  sessions[].call_tool(, arguments={})
        data_3 = parse(result_3)
        ()

        
        result_4 =  sessions[].call_tool(, arguments={})
        data_4 = parse(result_4)
        ()

        
        ()

 __name__ == :
    asyncio.run(main())