# stylelint-mcp

> Use this tool when you need to automatically lint and fix CSS code issues, solving problems such as inconsistent styling and code quality errors. It takes CSS files as input and outputs linted and corrected code, providing a seamless interface for AI models to improve code quality. Ideal for use cases where consistent and maintainable CSS code is crucial, such as in large-scale web development projects.

Canonical page: https://skillsregistry.net/skills/ryo-manba-stylelint-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ryo-manba-stylelint-mcp

## Description

Enables AI models to run Stylelint on CSS files and fix linting warnings directly through the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/svpbofn6ug)
- **Repository:** <https://github.com/ryo-manba/stylelint-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": "ryo-manba-stylelint-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ryo-manba-stylelint-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ryo-manba-stylelint-mcp/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