Retrieve Compound SMILES
SkillDev toolsRetrieve SMILES strings by compound name using PubChem with an NCI resolver fallback.
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 Retrieve Compound SMILES skill
What this skill tells your AI
The instructions your AI receives, as published by internscience/molclaw in skills/L1_tools/molclaw-compound-retrieve/SKILL.md and read by ahel’s review.
Note:
- Local files are not directly accessible by the server. Please upload them to the server using
molclaw-file-transferbefore execution. - For PDB file inputs, it is recommended to preprocess them using
molclaw-pdbfixerbefore execution. - Please refer to skill
molclaw-scp-serverto complete tool invocation.
The description of tool retrieve_smiles_by_compoundname.
Retrieve SMILES strings by compound name. The service queries PubChem first and falls back to the NCI resolver when PubChem is busy or unavailable.
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 :
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"]
Signals
- GitHub stars
- 33
- Forks
- 3
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
molclaw-compound-retrieve- Source
- github.com/internscience/molclaw