| name | natural_product_analysis |
| description | Natural Product Analysis - Analyze natural products: name to SMILES, PubChem lookup, structural analysis, and KEGG natural product search. Use this skill for natural products chemistry tasks involving NameToSMILES search pubchem by name ChemicalStructureAnalyzer kegg find. Combines 4 tools from 4 SCP server(s). |
Natural Product Analysis
Discipline: Natural Products Chemistry | Tools Used: 4 | Servers: 4
Description
Analyze natural products: name to SMILES, PubChem lookup, structural analysis, and KEGG natural product search.
Tools Used
NameToSMILES from server-31 (sse) - https://scp.intern-ai.org.cn/api/v1/mcp/31/SciToolAgent-Chem
search_pubchem_by_name from pubchem-server (streamable-http) - https://scp.intern-ai.org.cn/api/v1/mcp/8/Origene-PubChem
ChemicalStructureAnalyzer from server-28 (sse) - https://scp.intern-ai.org.cn/api/v1/mcp/28/InternAgent
kegg_find from kegg-server (streamable-http) - https://scp.intern-ai.org.cn/api/v1/mcp/5/Origene-KEGG
Workflow
- Convert to SMILES
- Search PubChem
- Analyze structure
- Search KEGG for natural product pathways
Test Case
Input
{
"compound_name": "curcumin"
}
Expected Steps
- Convert to SMILES
- Search PubChem
- Analyze structure
- Search KEGG for natural product pathways
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-31": "https://scp.intern-ai.org.cn/api/v1/mcp/31/SciToolAgent-Chem",
"pubchem-server": "https://scp.intern-ai.org.cn/api/v1/mcp/8/Origene-PubChem",
"server-28": "https://scp.intern-ai.org.cn/api/v1/mcp/28/InternAgent",
"kegg-server": "https://scp.intern-ai.org.cn/api/v1/mcp/5/Origene-KEGG"
}
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())