# mcp-codexreview

> Use this tool when you need to review git changes efficiently, as it provides MCP tools to examine unstaged, staged, or last-commit changes using OpenAI Codex CLI. It solves problems of manual code review, automating the process for faster feedback and improved code quality. The tool takes git change inputs and outputs reviewed code, ideal for use during development and testing phases.

Canonical page: https://skillsregistry.net/skills/signal-slot-mcp-codexreview  
JSON: https://api.skillsregistry.net/v1/skills/signal-slot-mcp-codexreview

## Description

Provides MCP tools to review git changes using OpenAI Codex CLI, enabling code review of unstaged, staged, or last-commit changes.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jgna324k2d)
- **Repository:** <https://github.com/signal-slot/mcp-codexreview>

## 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": "signal-slot-mcp-codexreview"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/signal-slot-mcp-codexreview` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/signal-slot-mcp-codexreview/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