# live-chemdraw-mcp

> live-chemdraw-mcp — maleitch-live-chemdraw-mcp. Use this tool when you need to interact with chemical structures in a live ChemDraw window, enabling tasks such as drawing, editing, and organizing molecules. It solves problems related to chemical structure management, publication, and quality control, and accepts inputs such as structure data and editing commands, producing outputs like formatted chemical structures and documents. Ideal for use cases requiring direct manipulation of chemical structures in a Windows environment.

Canonical page: https://skillsregistry.net/skills/maleitch-live-chemdraw-mcp  
JSON: https://api.skillsregistry.net/v1/skills/maleitch-live-chemdraw-mcp

## Description

Connects AI assistants to a live ChemDraw window on Windows via COM automation, enabling drawing, editing, and organizing chemical structures directly in the open document. Supports structure insert/export, scope tables, shorthand groups, figure layout, chemistry QC, publication tools, annotations, polymer brackets, and TLC plates.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bk720qmhcq)
- **Repository:** <https://github.com/MALeitch/live-chemdraw-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": "maleitch-live-chemdraw-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/maleitch-live-chemdraw-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/maleitch-live-chemdraw-mcp/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
