# mcp-code-reviewer

> mcp-code-reviewer — wzx11223344-mcp-code-reviewer. Use this tool when you need to analyze and improve Python code quality, as it provides core functionality for security audits, style checks, complexity analysis, and bug detection, accepting Python code as input and outputting detailed review reports to help solve problems related to code maintainability, reliability, and security. It is particularly useful in development contexts where code quality and security are paramount. This tool supports the detection of bug patterns and vulnerabilities, making it an essential asset for ensuring the integrity of Python applications.

Canonical page: https://skillsregistry.net/skills/wzx11223344-mcp-code-reviewer  
JSON: https://api.skillsregistry.net/v1/skills/wzx11223344-mcp-code-reviewer

## Description

A code review MCP server built on FastMCP, supporting security audit, style check, complexity analysis, and bug pattern detection for Python code.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** security
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zpspu1k0y3)
- **Repository:** <https://github.com/wzx11223344/mcp-code-reviewer>

## 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": "wzx11223344-mcp-code-reviewer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/wzx11223344-mcp-code-reviewer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/wzx11223344-mcp-code-reviewer/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