# Codex Claude Code MCP

> Codex Claude Code MCP — happenmass-codex-claude-code-mcp. Use this tool when you need to offload complex tasks from Codex to Claude Code, enabling efficient delegation of long-running work without requiring constant polling. It solves problems of resource-intensive tasks and inefficient workflow management by providing a seamless interface for model discovery, execution, and resumption. This tool is ideal for use cases involving computationally expensive operations, allowing for streamlined workflow management and optimized resource utilization.

Canonical page: https://skillsregistry.net/skills/happenmass-codex-claude-code-mcp  
JSON: https://api.skillsregistry.net/v1/skills/happenmass-codex-claude-code-mcp

## Description

Enables Codex to delegate long-running work to Claude Code via blocking MCP calls, with tools for model discovery, run, and resume without polling.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ppiq0qmbg3)
- **Repository:** <https://github.com/Happenmass/codex-claude-code-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": "happenmass-codex-claude-code-mcp"
    }
  }
}
```

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