codex-delegate-mcp

# Codex Delegate

**Stop burning your frontier agent's limits on boilerplate.**

Delegate implementation to the **OpenAI Codex CLI** — your agent writes the brief and reviews the diff.

[![npm version](https://img.shields.io/npm/v/codex-delegate-mcp)](https://www.npmjs.com/package/codex-delegate-mcp)
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[![MCP Registry](https://img.shields.io/badge/MCP%20Registry-listed-blue)](https://registry.modelcontextprotocol.io/v0.1/servers?search=codex-delegate&version=latest)
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[![license: MIT](https://img.shields.io/badge/license-MIT-blue.svg)](LICENSE)
[![tests](https://github.com/andreilungeanu/codex-delegate-mcp/actions/workflows/test.yml/badge.svg)](https://github.com/andreilungeanu/codex-delegate-mcp/actions/workflows/test.yml)

<img src="assets/logo-light.png" alt="Codex Delegate logo" width="150" align="left" hspace="15">

Use your best coding agent where its judgment matters most: understanding the task, shaping the plan, and reviewing the result.

Codex Delegate is the MCP bridge that lets Claude Code, Cursor, Copilot — or any MCP client — hand implementation to the **OpenAI Codex CLI**, then get a clean, structured result back for review.

<br clear="left">

![A terminal recording of Claude Code delegating to Codex: a health check confirms the Codex CLI, auth and model catalog; an ask-mode run diagnoses why the demo repo prints "today 0", naming commitDay() bucketing by UTC while cellDay() labels by local time, with line numbers; one sentence then fans out to two Codex models at once — one editing the repo, one researching in a separate directory — and the fix lands with tests passing and the footer reading today 4, current streak 23, longest streak 23; finally Codex reviews its own diff and reports three findings](assets/demo.gif)

## 🧠 Frontier quality, kept

Your assistant does what frontier models are actually for: understands the task, writes a precise brief, reviews the finished diff. Codex holds its own as the implementer — guided and checked by a smarter orchestrator. The result reads like frontier work, because a frontier model planned it and signed off on it.

## ⚡ Done faster

Codex tears through multi-file edits while a frontier chat model would still be streaming the first file. You delegate, keep working with your assistant, and the diff shows up done.

## 🔋 Your limits stop being the bottleneck

Delegated work runs on the **OpenAI Codex CLI** and its own usage — separate from your orchestrator's chat quota, though the Codex side still bills its own way. Your Claude, Cursor, or Copilot subscription spends tokens on the brief and the review; Codex does the grinding. On API? That's the per-token grind moved off your main bill.

# 

![You and your agent understand the task, write the brief and review the diff; the MCP delegate tool hands that brief to the OpenAI Codex CLI, which implements it and edits your workspace; one compact JSON result comes back with what changed, which files, and the thread id](assets/flow.png)

![A delegate result: one compact JSON block with the final answer, status, thread and delegation ids, workspace, Codex CLI version, cumulative thread token usage, and the files the edit tools reported changing](assets/result-json.png)

## Features

- 📦 **One result you can review** — a compact JSON block: the final answer, `status`, the files Codex's edit tools reported changing, cumulative thread token counts, and the `threadId` to continue from. Fields that carry no signal are omitted.
- 📋 **Plan first, then build it on the same thread** — `plan` returns schema-validated steps for you to approve, and `agent` implements them. `ask` answers questions. `review` runs Codex's own reviewer over uncommitted work, a base branch, or a single commit.
- 🧵 **Resume** — continue a Codex thread with `resumeThreadId`. `resumed: false` tells you the context did not carry over.
- 🧑‍🤝‍🧑 **Run several, cancel cleanly** — the same question across models, or independent workers on independent directories. `cancel` waits for the exit and warns when a process outlives the kill deadline.
- 🤝 **One-command install** — Claude Code, GitHub Copilot CLI, Cursor and VS Code take it as a plugin, with a skill that teaches your agent how to delegate well. Cursor and VS Code install the server in one click; JetBrains, Devin Desktop (Windsurf), Visual Studio and the rest add the stdio server in settings.
- 🩺 **`doctor`** — tells you exactly what's missing if setup isn't right.

## Install

You need [Node.js 20+](https://nodejs.org/) and the [OpenAI Codex CLI](https://github.com/openai/codex), already logged in (`codex login`).

### Claude Code

```shell
/plugin marketplace add andreilungeanu/codex-delegate-mcp
/plugin install codex-delegate@codex-delegate-mcp
```

Then just ask:

> Delegate to Codex: migrate src/api from callbacks to async/await and update the tests, then walk me through what changed.

That's the whole loop — Claude writes the brief, Codex grinds through the files, Claude walks you through the diff.

### Cursor

[![Add to Cursor](https://cursor.com/deeplink/mcp-install-dark.svg)](https://cursor.com/en/install-mcp?name=codex-delegate&config=eyJjb21tYW5kIjoibnB4IiwiYXJncyI6WyIteSIsImNvZGV4LWRlbGVnYXRlLW1jcCJdfQ%3D%3D)

Or add it under **Customize → MCPs** in the sidebar, or in `~/.cursor/mcp.json` (every project) or `.cursor/mcp.json` (this project):

```json
{
  "mcpServers": {
    "codex-delegate": {
      "command": "npx",
      "args": ["-y", "codex-delegate-mcp"]
    }
  }
}
```

Then ask Cursor to delegate implementation to Codex the same way.

### GitHub Copilot CLI

```shell
copilot plugin install andreilungeanu/codex-delegate-mcp
```

Or through the marketplace, the same way as Claude Code:

```shell
copilot plugin marketplace add andreilungeanu/codex-delegate-mcp
copilot plugin install codex-delegate@codex-delegate-mcp
```

The server alone, without the skill: `copilot mcp add codex-delegate -- npx -y codex-delegate-mcp`.

### More clients

<details>
<summary><strong>VS Code</strong> — one-click install, or <code>.vscode/mcp.json</code></summary>

[![Install in VS Code](https://img.shields.io/badge/VS_Code-Install_server-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://vscode.dev/redirect/mcp/install?name=codex-delegate&config=%7B%22type%22%3A%22stdio%22%2C%22command%22%3A%22npx%22%2C%22args%22%3A%5B%22-y%22%2C%22codex-delegate-mcp%22%5D%7D)
[![Install in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-Install_server-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=codex-delegate&config=%7B%22type%22%3A%22stdio%22%2C%22command%22%3A%22npx%22%2C%22args%22%3A%5B%22-y%22%2C%22codex-delegate-mcp%22%5D%7D&quality=insiders)

```json
{
  "servers": {
    "codex-delegate": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "codex-delegate-mcp"]
    }
  }
}
```

Or run **Chat: Install Plugin From Source** with this repository's URL (needs the `chat.plugins.enabled` setting).

</details>

<details>
<summary><strong>JetBrains AI Assistant</strong> — Settings → Tools → AI Assistant → MCP</summary>

Under **Settings → Tools → AI Assistant → Model Context Protocol (MCP)**, click **Add** and paste this JSON:

```json
{
  "mcpServers": {
    "codex-delegate": {
      "command": "npx",
      "args": ["-y", "codex-delegate-mcp"]
    }
  }
}
```

</details>

<details>
<summary><strong>Devin Desktop (formerly Windsurf)</strong> — <code>~/.config/devin/mcp_config.json</code></summary>

This config is for Devin Local, the default agent (Local 3.6+). On Windows the file is `%APPDATA%\devin\mcp_config.json`. Legacy Cascade and older Windsurf builds read `~/.codeium/windsurf/mcp_config.json`.

```json
{
  "mcpServers": {
    "codex-delegate": {
      "command": "npx",
      "args": ["-y", "codex-delegate-mcp"]
    }
  }
}
```

Heads-up: Devin Desktop's Cascade agent caps you at 100 tools across all servers.

</details>

<details>
<summary><strong>Visual Studio 2026 / 2022</strong> — <code>%USERPROFILE%\.mcp.json</code></summary>

```json
{
  "servers": {
    "codex-delegate": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "codex-delegate-mcp"]
    }
  }
}
```

Visual Studio 2022 needs 17.14+. Note the top-level key is `servers`, not `mcpServers`. A `.mcp.json` in the solution directory scopes it to that solution.

</details>

<details>
<summary><strong>OpenCode</strong> — <code>~/.config/opencode/opencode.json</code> or project <code>opencode.json</code></summary>

OpenCode does **not** use `mcpServers`. Local servers go under `mcp`, with `type: "local"` and `command` as one array:

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "codex-delegate": {
      "type": "local",
      "command": ["npx", "-y", "codex-delegate-mcp"],
      "enabled": true
    }
  }
}
```

This is the v1 shape, which OpenCode v2 still reads (v2's native form is `mcp.servers`).

</details>

<details>
<summary><strong>Google Antigravity</strong> — <code>~/.gemini/config/mcp_config.json</code> or workspace <code>.agents/mcp_config.json</code></summary>

```json
{
  "mcpServers": {
    "codex-delegate": {
      "command": "npx",
      "args": ["-y", "codex-delegate-mcp"]
    }
  }
}
```

In the IDE: **…** on the agent panel → **MCP Servers** → **Manage MCP Servers** → **View raw config**. Antigravity 2.0, IDE, and CLI share the Gemini config file. You may need to approve the server's tools on first run.

</details>

<details>
<summary><strong>Kilo Code</strong> — <code>kilo.jsonc</code> (<code