# io.github.scottmreed/ChemCP

> Use this tool when you need to visualize 2D molecular structures from SMILES notation, solving challenges in cheminformatics and molecular analysis. It takes SMILES strings as input and outputs 2D molecular structure renderings using RDKit.js. Ideal for use cases requiring rapid visualization of molecular structures, such as chemical research and drug discovery.

Canonical page: https://skillsregistry.net/skills/io-github-scottmreed-chemcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-scottmreed-chemcp

## Description

MCP App that renders 2D molecular structures from SMILES using RDKit.js

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.scottmreed%2FChemCP)
- **Repository:** <https://github.com/scottmreed/ChemCP>

## 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": "io-github-scottmreed-chemcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-scottmreed-chemcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-scottmreed-chemcp/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