Codex Delegate
Bridge AI coding hosts to the OpenAI Codex CLI for delegated implementation.
Open source Open in the app JSON README (API)
About
Bridge AI coding hosts to the OpenAI Codex CLI for delegated implementation.
Details
- Kind
- MCP servers
- Topic
- AI, RAG & memory
- Publisher
- andreilungeanu
- Origin
- official
- Category
- ferramentas
- Transport
- local
- Version
- 2.2.1
- Stars
- 1
- Open pull requests
- 2
- Last push
- 2026-09-06T13:48:30Z
- Repository state
- ativo
- Language
- JavaScript
- License
- MIT
- Added
- 2026-08-29 03:02:25
- Updated
- 2026-09-04 10:01:01
- Origin id
io.github.andreilungeanu/codex-delegate-mcp
README
# 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.
[](https://www.npmjs.com/package/codex-delegate-mcp)
[](https://www.npmjs.com/package/codex-delegate-mcp)
[](https://registry.modelcontextprotocol.io/v0/servers?search=codex-delegate)
[](https://glama.ai/mcp/servers/andreilungeanu/codex-delegate-mcp)
[](https://nodejs.org)
[](LICENSE)
[](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">

## 🧠 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.
#


## 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 and GitHub Copilot CLI take it as a plugin, with a skill that teaches your agent how to delegate well. Cursor, VS Code, JetBrains, Windsurf and Visual Studio 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 an MCP server in **Cursor Settings → MCP** (or project `.cursor/mcp.json`):
```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
```
### More clients
<details>
<summary><strong>VS Code</strong> — one-click install, or <code>.vscode/mcp.json</code></summary>
[](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)
[](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.
</details>
<details>
<summary><strong>JetBrains AI Assistant</strong> — Settings → Tools → AI Assistant → MCP</summary>
Under **Settings → Tools → AI Assistant → Model Context Protocol (MCP)**, add a server with command `npx` and arguments `-y codex-delegate-mcp`.
</details>
<details>
<summary><strong>Windsurf</strong> — <code>~/.codeium/windsurf/mcp_config.json</code></summary>
```json
{
"mcpServers": {
"codex-delegate": {
"command": "npx",
"args": ["-y", "codex-delegate-mcp"]
}
}
}
```
Heads-up: Cascade caps you at 100 tools across all servers.
</details>
<details>
<summary><strong>Visual Studio 2022</strong> — <code>%USERPROFILE%\.mcp.json</code></summary>
```json
{
"servers": {
"codex-delegate": {
"type": "stdio",
"command": "npx",
"args": ["-y", "codex-delegate-mcp"]
}
}
}
```
Requires 17.14+. Note the top-level key is `servers`, not `mcpServers`.
</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
}
}
}
```
</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>mcp</code> key, not <code>mcpServers</code>)</summary>
Same shape as OpenCode: `type: "local"` and `command` as one array.
```json
{
"mcp": {
"codex-delegate": {
"type": "local",
"command": ["npx", "-y", "codex-delegate-mcp"],
"enabled": true
}
}
}
```
In the VS Code extension: **Settings → MCP → Add Server → Local (stdio)**. On Windows, if `npx` is not found, use command `cmd` with arguments `/c`, `npx`, `-y`, `codex-delegate-mcp`.
</details>
<details>
<summary><strong>Zed</strong> — Settings → AI → MCP Servers, or <code>context_servers</code> in Zed settings</summary>
```json
{
"context_servers": {
"codex-delegate": {
"command": "npx",
"args": ["-y", "codex-delegate-mcp"],
"env": {}
}
}
}
```
Zed's native agent uses this. External ACP agents in Zed read their own MCP config unless you forward Zed's servers.
</details>
### Kiro and any other MCP client
Add the following server to the client's MCP config:
```json
{
"mcpServers": {
"codex-delegate": {
"command": "npx",
"args": ["-y", "codex-delegate-mcp"]
}
}
}
```
MIT © [Andrei Lungeanu](https://github.com/andreilungeanu)
<sub>[Configuration](CONFIGURATION.md) · [Security](SECURITY.md) · [Privacy](PRIVACY.md) · [Terms](TERMS.md) · [Changelog](CHANGELOG.md)</sub>