# mcp-tools-py

> mcp-tools-py — marcusjellinghaus-mcp-tools-py. Use this tool when you need to analyze and improve code quality with AI assistance, as it provides pylint and pytest checks with smart prompts for effortless analysis and fixes. It solves problems of manual code review and debugging, enabling AI agents like Claude to suggest improvements. The tool integrates with git, taking in code repositories as input and outputting actionable suggestions for enhancement.

Canonical page: https://skillsregistry.net/skills/marcusjellinghaus-mcp-tools-py  
JSON: https://api.skillsregistry.net/v1/skills/marcusjellinghaus-mcp-tools-py

## Description

MCP server providing code quality checks (pylint and pytest) with smart LLM-friendly prompts for analysis and fixes. Enables Claude and other AI assistants to analyze your code and suggest improvements.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-06-18

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/MarcusJellinghaus/mcp-tools-py)

## 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": "marcusjellinghaus-mcp-tools-py"
    }
  }
}
```

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