# codex-bridge

> codex-bridge — w4sspr-codex-bridge. Use this tool when you need to facilitate agent-to-agent conversations, code reviews, and consensus between Claude Code and OpenAI Codex CLI sessions. It connects these platforms through MCP, enabling seamless collaboration and knowledge sharing. Ideal for use cases involving code development, review, and iteration, the codex-bridge tool accepts git inputs and produces collaborative outputs.

Canonical page: https://skillsregistry.net/skills/w4sspr-codex-bridge  
JSON: https://api.skillsregistry.net/v1/skills/w4sspr-codex-bridge

## Description

Connect Claude Code to running OpenAI Codex CLI sessions through MCP for agent to agent conversations, code review, and consensus.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/w4sspr/codex-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": "w4sspr-codex-bridge"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/w4sspr-codex-bridge` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/w4sspr-codex-bridge/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