Chemical Structure Analysis

SkillDev tools

Analyze 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.

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 spectrai-initiative/innoclaw in .claude/skills/chemical-structure-analysis/SKILL.md and read by ahel’s review.

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 notation
      • molecular_formula (str): Chemical formula
      • molecular_weight (float): Molecular weight (g/mol)
      • logP (float): Partition coefficient

Use Cases

  • Chemical property lookup
  • Drug-likeness assessment
  • Compound identification
  • Chemical database searches

Signals

GitHub stars
391
Forks
28
Last commit
Aug 2026
Advanced
Catalog kind
skill
Gateway key
chemical-structure-analysis-spectrai-initiative
Source
github.com/spectrai-initiative/innoclaw