# code-quality-mcp

> Use this tool when you need to analyze Python code quality and enforce coding standards, solving problems such as detecting syntax errors, type inconsistencies, and complex code structures. It takes in Python code as input and outputs detailed reports on linting and type checking results, using tools like flake8 and mypy. Utilize it in development contexts where maintaining high-quality, readable, and reliable code is crucial.

Canonical page: https://skillsregistry.net/skills/javier-morenosa-code-quality-mcp  
JSON: https://api.skillsregistry.net/v1/skills/javier-morenosa-code-quality-mcp

## Description

Provides deterministic Python code quality analysis using flake8, mypy, McCabe, and vulture, enabling LLMs to access real linting and type checking results.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bksw4q1ws3)
- **Repository:** <https://github.com/Javier-Morenosa/code-quality-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": "javier-morenosa-code-quality-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/javier-morenosa-code-quality-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/javier-morenosa-code-quality-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