# codex-claude-bridge

> Use this tool when you need to integrate Claude Code with OpenAI Codex for code review and feedback. It solves the problem of manual code review by enabling seamless communication between the two platforms, sending code and plans for review and returning structured feedback inline. This tool is ideal for developers and teams looking to automate and streamline their code review process, taking input code and plans and outputting actionable feedback.

Canonical page: https://skillsregistry.net/skills/amirshayegh-codex-claude-bridge  
JSON: https://api.skillsregistry.net/v1/skills/amirshayegh-codex-claude-bridge

## Description

MCP server that enables Claude Code to send code and plans for review by OpenAI Codex, returning structured feedback inline.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jux7uy9p9c)
- **Repository:** <https://github.com/AmirShayegh/codex-claude-bridge>

## 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": "amirshayegh-codex-claude-bridge"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/amirshayegh-codex-claude-bridge` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/amirshayegh-codex-claude-bridge/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