# mcp-lint-tools

> Use this tool when you need to enforce coding standards and best practices in your AI agent's codebase, solving problems such as inconsistent styling, complex code, and dead code. It takes in code files as input and outputs reports on style violations, complexity issues, and other code quality metrics. Ideal for use in development and testing contexts to ensure maintainable and efficient code.

Canonical page: https://skillsregistry.net/skills/rog0x-mcp-lint-tools  
JSON: https://api.skillsregistry.net/v1/skills/rog0x-mcp-lint-tools

## Description

Code linting and style checking tools for AI agents, exposed as an MCP server. Supports style checks, naming conventions, complexity analysis, dead code detection, and import analysis.

## 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:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/o0ws19bvpb)
- **Repository:** <https://github.com/rog0x/mcp-lint-tools>

## 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": "rog0x-mcp-lint-tools"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rog0x-mcp-lint-tools` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rog0x-mcp-lint-tools/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