# ChemCP

> Use this tool when you need to visualize molecular structures from SMILES notation, as it renders 2D representations using RDKit.js, solving problems in cheminformatics and molecular analysis, and accepting SMILES strings as input to produce graphical outputs. It is ideal for applications in chemistry, pharmacology, and materials science where molecular structure visualization is crucial. This tool provides a straightforward interface for converting SMILES into readable 2D molecular structures.

Canonical page: https://skillsregistry.net/skills/scottmreed-chemcp  
JSON: https://api.skillsregistry.net/v1/skills/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:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/scottmreed-chemcp)
- **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": "scottmreed-chemcp"
    }
  }
}
```

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

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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