SMILES Retriever

SkillDev tools

Retrieve SMILES strings from PubChem using compound names.

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 SMILES Retriever skill

What this skill tells your AI

The instructions your AI receives, as published by internscience/scp in skills/drugsda-compound-retrieve/SKILL.md and read by ahel’s review.

Usage

1. MCP Server Definition

import json
from mcp.client.streamable_http import streamablehttp_client
from mcp import ClientSession

class DrugSDAClient:
    def __init__(self, server_url: str):
        self.server_url = server_url
        self.session = None

    async def connect(self):
        print(f"server url: {self.server_url}")
        try:
            self.transport = streamablehttp_client(
                url=self.server_url,
                headers={"SCP-HUB-API-KEY": "sk-a0033dde-b3cd-413b-adbe-980bc78d6126"}
            )
            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()
            session_id = self.get_session_id()

            print(f"✓ connect success")
            return True

        except Exception as e:
            print(f"✗ connect failure: {e}")
            import traceback
            traceback.print_exc()
            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)
            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. Tool Usage

The description of tool retrieve_smiles_by_compoundname.

Retrieve SMILES strings from PubChem using compound names.
Args:
    compound_names (List[str]): List of input compound names (e.g., ["aspirin", "caffeine"])
Return:
    status (str): success/partial_success/error
    msg (str): message
    retrieve_smiles (List[dict]): List of dict, each containing the keys 'compound_name' and 'smiles'.
        --compound_name (str): A compound name of compound_names
        --smiles (str): The retrieved SMILES string, if it exists; otherwise, None.

How to use tool retrieve_smiles_by_compoundname :

client = DrugSDAClient("https://scp.intern-ai.org.cn/api/v1/mcp/2/DrugSDA-Tool")
if not await client.connect():
    print("connection failed")
    return

response = await client.session.call_tool(
    "retrieve_smiles_by_compoundname",
    arguments={
        "compound_names": compound_names
    }
)
result = client.parse_result(response)
retrieve_smiles = result["retrieve_smiles"]

await client.disconnect()

Signals

GitHub stars
167
Forks
9
Last commit
Jun 2026
Advanced
Catalog kind
skill
Gateway key
drugsda-compound-retrieve
Source
github.com/internscience/scp