Chemical Structure Analysis
SkillDev toolsAnalyze chemical structures from compound names to retrieve SMILES, molecular formulas, molecular weight, and LogP values.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Chemical Structure Analysis skill
What this skill tells your AI
The instructions your AI receives, as published by internscience/scp in skills/chemical-structure-analysis/SKILL.md and read by ahel’s review.
Usage
1. MCP Server Definition
import asyncio
import json
from mcp.client.streamable_http import streamablehttp_client
from mcp import ClientSession
class InternAgentClient:
"""InternAgent MCP Client"""
def __init__(self, server_url: str, api_key: str):
self.server_url = server_url
self.api_key = api_key
self.session = None
async def connect(self):
try:
self.transport = streamablehttp_client(
url=self.server_url,
headers={"SCP-HUB-API-KEY": self.api_key}
)
self.read, self.write, self.get_session_id = await self.transport.__aenter__()
self.session_ctx = ClientSession(self.read, self.write)
self.session = await self.session_ctx.__aenter__()
await self.session.initialize()
return True
except Exception as e:
print(f"✗ connect failure: {e}")
return False
async def disconnect(self):
try:
if self.session:
await self.session_ctx.__aexit__(None, None, None)
if hasattr(self, 'transport'):
await self.transport.__aexit__(None, None, None)
except Exception as e:
print(f"✗ disconnect error: {e}")
def parse_result(self, result):
try:
if hasattr(result, 'content') and result.content:
content = result.content[0]
if hasattr(content, 'text'):
return json.loads(content.text)
return str(result)
except Exception as e:
return {"error": f"parse error: {e}", "raw": str(result)}
2. Chemical Structure Analysis Workflow
Analyze chemical structures from compound names.
Implementation:
## Initialize client
client = InternAgentClient(
"https://scp.intern-ai.org.cn/api/v1/mcp/28/InternAgent",
"<your-api-key>"
)
if not await client.connect():
print("connection failed")
exit()
## Input: Compound name
compound_name = "aspirin"
## Analyze chemical structure
result = await client.session.call_tool(
"ChemicalStructureAnalyzer",
arguments={
"compound_name": compound_name
}
)
data = client.parse_result(result)
print(f"Compound: {compound_name}")
print(f"SMILES: {data.get('smiles', 'N/A')}")
print(f"Molecular Formula: {data.get('molecular_formula', 'N/A')}")
print(f"Molecular Weight: {data.get('molecular_weight', 'N/A')}")
print(f"LogP: {data.get('logP', 'N/A')}")
await client.disconnect()
Tool Descriptions
InternAgent Server:
ChemicalStructureAnalyzer: Analyze chemical structure from compound name- Args:
compound_name(str): Chemical compound name
- Returns:
smiles(str): SMILES notationmolecular_formula(str): Chemical formulamolecular_weight(float): Molecular weight (g/mol)logP(float): Partition coefficient
- Args:
Use Cases
- Chemical property lookup
- Drug-likeness assessment
- Compound identification
- Chemical database searches
Signals
- GitHub stars
- 167
- Forks
- 9
- Last commit
- Jun 2026
Advanced
- Catalog kind
- skill
- Gateway key
chemical-structure-analysis- Source
- github.com/internscience/scp