MolClaw Molecule Visualization
SkillFiles & storageRender a molecule from a SMILES string or a server-side molecular structure file with the MolClaw MCP tool `visualize_molecule`.
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 MolClaw Molecule Visualization skill
What this skill tells your AI
The instructions your AI receives, as published by internscience/molclaw in skills/L1_tools/molclaw-visualize-molecule/SKILL.md and read by ahel’s review.
Use the live MCP tool visualize_molecule when the task needs a simple molecular
structure image.
This tool produces a depiction only. It does not calculate molecular properties
or protein–ligand interactions. Use interaction_visualizer instead when the
task requires residue-level interaction analysis.
Input
The live schema has one required field:
| Field | Type | Meaning |
|---|---|---|
input | string | A SMILES string or a server-side .sdf, .smi, .smiles, or .mol path |
For a local molecular file, upload it with the MolClaw file-transfer tool first and pass the returned server-side artifact path. Do not invent a server path.
MCP call
From a SMILES string:
<tool_call>{"tool_name":"visualize_molecule","arguments":{"input":"CCO"}}</tool_call>
From a server-side artifact:
<tool_call>{"tool_name":"visualize_molecule","arguments":{"input":"<artifact:molecule/candidate.sdf>"}}</tool_call>
Output
On success, the result contains:
status: "success"msgimage_path: server-generated PNG path
Treat the returned image as the authoritative artifact. In Drug-Pipe online inference, the raw server path is converted to a canonical artifact reference before it is shown to the model or used in the final answer.
If the tool returns an error, preserve the observation and revise the input; do not claim that an image was created.
Signals
- GitHub stars
- 33
- Forks
- 3
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
molclaw-visualize-molecule- Source
- github.com/internscience/molclaw