chemical-structure-analysis
community[skill]
Analyze chemical structures from compound names to retrieve SMILES, molecular formulas, molecular weight, and LogP values.
$
/plugin install InnoClawdetails
Chemical Structure Analysis
Usage
1. MCP Server Definition
import asyncio
import json
from contextlib import AsyncExitStack
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._stack = AsyncExitStack()
await self._stack.__aenter__()
self.read, self.write, self.get_session_id = await self._stack.enter_async_context(self.transport)
self.session_ctx = ClientSession(self.read, self.write)
self.session = await self._stack.enter_async_context(self.session_ctx)
await self.session.initialize()
return True
except Exception as e:
print(f"✗ connect failure: {e}")
return False
async def disconnect(self):
"""Disconnect from server"""
try:
if hasattr(self, '_stack'):
await self._stack.aclose()
print("✓ already disconnect")
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
technical
- github
- SpectrAI-Initiative/InnoClaw
- stars
- 374
- license
- Apache-2.0
- contributors
- 16
- last commit
- 2026-04-20T01:27:21Z
- file
- .claude/skills/chemical-structure-analysis/SKILL.md