# ChemLint

> Use this tool when you need to analyze and manipulate molecular structures, train machine learning models, or generate reports through a conversational interface. ChemLint solves problems in cheminformatics and molecular machine learning by providing native access to ML tools and enabling tasks like descriptor calculation and model training. It takes natural language inputs and outputs analysis reports, making it ideal for use cases where molecular data analysis and modeling are required.

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

## Description

An MCP server that gives LLMs native access to cheminformatics and molecular ML tools, enabling molecular structure manipulation, descriptor calculation, ML model training, and analysis report generation through natural conversation.

## Trust

- **Trust score (0–1):** 0.69
- **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/dpy9sb8dw0)
- **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": "molml-chemlint"
    }
  }
}
```

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