# SMILES Visualizer MCP Server

> Use this tool when you need to visualize and analyze molecular structures from SMILES strings, solving problems in chemical research and development by providing detailed properties and validation. It takes SMILES strings as input and outputs interactive visualizations and molecular data through multiple rendering approaches. Ideal for use in cheminformatics, pharmaceutical research, and materials science applications.

Canonical page: https://skillsregistry.net/skills/siarhei-fedziukovich-smiles-visualizer-mcp  
JSON: https://api.skillsregistry.net/v1/skills/siarhei-fedziukovich-smiles-visualizer-mcp

## Description

Enables molecular visualization and analysis from SMILES strings using multiple rendering approaches (RDKit, NetworkX, Plotly, matplotlib), providing detailed molecular properties, validation, and batch processing capabilities for chemical structures.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/uj5lalj79q)
- **Repository:** <https://github.com/siarhei-fedziukovich/smiles_visualizer_mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "siarhei-fedziukovich-smiles-visualizer-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/siarhei-fedziukovich-smiles-visualizer-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/siarhei-fedziukovich-smiles-visualizer-mcp/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
