# codex-bridge

> Use this tool when you need to integrate AI-powered code analysis and planning into your project workflow. The codex-bridge MCP server enables seamless interaction with GPT Codex for tasks like adversarial planning, code review, and debugging, streamlining your development process. It accepts project-related inputs and outputs actionable recommendations, making it ideal for use cases where automated code review and risk assessment are crucial.

Canonical page: https://skillsregistry.net/skills/ndcorder-claude-codex-team  
JSON: https://api.skillsregistry.net/v1/skills/ndcorder-claude-codex-team

## Description

MCP server that lets Claude Code ask GPT Codex for adversarial planning, code review, debugging, research, and risk triage without leaving your project workflow.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-05-26

## Source

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

## 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": "ndcorder-claude-codex-team"
    }
  }
}
```

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