# code-review-mcp

> Use this tool when you need to thoroughly examine code quality and identify potential issues, as it solves problems related to bug detection, security vulnerabilities, and performance optimization by consolidating results from multiple AI models and providing comprehensive feedback through a streamlined interface. It takes in code snippets as input and outputs detailed review reports, making it ideal for use in software development and testing contexts. This tool is particularly useful when ensuring adherence to best practices and standards is crucial.

Canonical page: https://skillsregistry.net/skills/igor-safonov-git-code-review-mcp  
JSON: https://api.skillsregistry.net/v1/skills/igor-safonov-git-code-review-mcp

## Description

Enables comprehensive code reviews using multiple AI models (O3, Gemini, Claude Opus) and consolidates results with GPT-4, focusing on bugs, security, performance, and best practices.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** security
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qnk9xw3sp6)
- **Repository:** <https://github.com/igor-safonov-git/code-review-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": "igor-safonov-git-code-review-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/igor-safonov-git-code-review-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/igor-safonov-git-code-review-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