Protein or Molecule Data Check
SkillDev toolsCheck if the input protein sequence or molecule SMILES string is valid.
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 Protein or Molecule Data Check skill
What this skill tells your AI
The instructions your AI receives, as published by spectrai-initiative/innoclaw in .claude/skills/drugsda-data-valid/SKILL.md and read by ahel’s review.
Usage
1. MCP Server Definition
import json
from contextlib import AsyncExitStack
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._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()
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):
"""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. Protein Sequence Valid Check
The description of tool is_valid_protein_sequence.
Check if the input protein sequence string is valid.
Args:
sequences (List[str]): List of input protein sequences
Return:
status (str): success/partial_success/error
msg (str): message
valid_res (List[dict]): List of dict, each containing the keys 'sequence' and 'is_valid'.
--sequence (str): A protein sequence of the input sequences list
--is_valid (bool): Is the protein sequence valid or not
How to use tool is_valid_protein_sequence :
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(
"is_valid_protein_sequence",
arguments={
"sequences": sequence_list
}
)
result = client.parse_result(response)
valid_res = result["valid_res"]
await client.disconnect()
3. Molecule SMILCES Valid Check
The description of tool is_valid_smiles.
Check if the input SMILES string is valid
Args:
smiles_list (List[str]): List of input SMILES strings, (e.g., ["N[C@@H](Cc1ccc(O)cc1)C(=O)O", "CC(C)C1=CC=CC=C1"])
Return:
status (str): success/partial_success/error
msg (str): message
valid_res (List[dict]): List of dict, each containing the keys 'smiles' and 'is_valid'.
--smiles (str): A SMILES string of smiles_list
--is_valid (bool): Is the SMILES valid or not
How to use tool is_valid_smiles :
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(
"is_valid_smiles",
arguments={
"smiles_list": smiles_list
}
)
result = client.parse_result(response)
valid_res = result["valid_res"]
await client.disconnect()
Signals
- GitHub stars
- 391
- Forks
- 28
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
drugsda-data-valid-spectrai-initiative- Source
- github.com/spectrai-initiative/innoclaw