# ChemLint

> Use this tool when you need to analyze and understand molecular structures and properties through natural conversation. ChemLint solves problems in cheminformatics and molecular machine learning by providing large language models (LLMs) with native access to specialized tools and techniques. It takes in natural language inputs and outputs relevant molecular data and insights, making it ideal for use cases where chemical expertise is required.

Canonical page: https://skillsregistry.net/skills/derekvantilborg-chemlint  
JSON: https://api.skillsregistry.net/v1/skills/derekvantilborg-chemlint

## Description

Transforms AI assistants into powerful molecular machine learning workbenches, giving LLMs native access to cheminformatics and molecular ML tools through natural conversation.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lnva8vjab1)
- **Repository:** <https://github.com/molML/ChemLint>

## 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": "derekvantilborg-chemlint"
    }
  }
}
```

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