codex-bridge

Name: codex-bridge
Author: xallindrome-labs

제작자: xallindrome-labs버전 0.1.0i★ –i내 컴퓨터에서 실행

레지스트리 이름io.github.xallindrome-labs/codex-bridge

설치

개요

제작자가 쓴 설명(영어 원문)

Lets Claude Code consult the Codex CLI for plans and images, as durable background jobs.

PopNx MCP의 세 기둥

이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.

사용자 의견i아직 리뷰가 없어요리뷰는 다음 단계에서 계정 기능과 함께 열려요
우리의 기본 점검i1개 중 1개 통과공개된 정보로 점검했으며, 코드는 아직 스캔하지 않았어요
사용 정도i아직 측정 안 함★ –

할 수 있는 일

이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.

연결 방식: 내 컴퓨터에서 실행
전송 방식: stdio
카테고리: 기타

설치

쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.

설치하기 전에

기본 점검: 1개 중 1개 통과
내 컴퓨터에서 내 사용자 계정의 권한(파일, 네트워크, 앱)으로 실행돼요.
직접 입력할 값: CODEX_BIN, CODEX_BRIDGE_HOME, CODEX_BRIDGE_IDLE_TIMEOUT_MS, CODEX_BRIDGE_PLAN_MODEL, CODEX_BRIDGE_PLAN_EFFORT, CODEX_BRIDGE_IMAGE_MODEL, CODEX_BRIDGE_IMAGE_EFFORT

필요한 것

npmNode.js 설치(npx 명령어용)

어떤 앱을 쓰세요?

ClaudeClaude CodeCursorVS CodeChatGPT

위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.

Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요

{
  "mcpServers": {
    "codex-bridge": {
      "command": "npx",
      "args": [
        "-y",
        "@xallindrome-labs/codex-bridge"
      ],
      "env": {
        "CODEX_BIN": "your-value",
        "CODEX_BRIDGE_HOME": "your-value",
        "CODEX_BRIDGE_IDLE_TIMEOUT_MS": "your-value",
        "CODEX_BRIDGE_PLAN_MODEL": "your-value",
        "CODEX_BRIDGE_PLAN_EFFORT": "your-value",
        "CODEX_BRIDGE_IMAGE_MODEL": "your-value",
        "CODEX_BRIDGE_IMAGE_EFFORT": "your-value"
      }
    }
  }
}

터미널에서 이 명령어를 실행하세요

claude mcp add codex-bridge --env CODEX_BIN=your-value --env CODEX_BRIDGE_HOME=your-value --env CODEX_BRIDGE_IDLE_TIMEOUT_MS=your-value --env CODEX_BRIDGE_PLAN_MODEL=your-value --env CODEX_BRIDGE_PLAN_EFFORT=your-value --env CODEX_BRIDGE_IMAGE_MODEL=your-value --env CODEX_BRIDGE_IMAGE_EFFORT=your-value -- npx -y @xallindrome-labs/codex-bridge

실행하기 전에 빈 값을 채워 주세요.

Cursor에서 열기

또는 설정을 직접 복사하기

프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요

{
  "mcpServers": {
    "codex-bridge": {
      "command": "npx",
      "args": [
        "-y",
        "@xallindrome-labs/codex-bridge"
      ],
      "env": {
        "CODEX_BIN": "your-value",
        "CODEX_BRIDGE_HOME": "your-value",
        "CODEX_BRIDGE_IDLE_TIMEOUT_MS": "your-value",
        "CODEX_BRIDGE_PLAN_MODEL": "your-value",
        "CODEX_BRIDGE_PLAN_EFFORT": "your-value",
        "CODEX_BRIDGE_IMAGE_MODEL": "your-value",
        "CODEX_BRIDGE_IMAGE_EFFORT": "your-value"
      }
    }
  }
}

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

VS Code에서 열기

또는 설정을 직접 복사하기

프로젝트의 .vscode/mcp.json에 붙여 넣으세요

{
  "servers": {
    "codex-bridge": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@xallindrome-labs/codex-bridge"
      ],
      "env": {
        "CODEX_BIN": "your-value",
        "CODEX_BRIDGE_HOME": "your-value",
        "CODEX_BRIDGE_IDLE_TIMEOUT_MS": "your-value",
        "CODEX_BRIDGE_PLAN_MODEL": "your-value",
        "CODEX_BRIDGE_PLAN_EFFORT": "your-value",
        "CODEX_BRIDGE_IMAGE_MODEL": "your-value",
        "CODEX_BRIDGE_IMAGE_EFFORT": "your-value"
      }
    }
  }
}

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.

선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.

직접 입력할 값

CODEX_BIN env
Path to the Codex CLI binary. Auto-detected when unset.
CODEX_BRIDGE_HOME env
Where job files are stored. Default: ~/.codex-bridge
CODEX_BRIDGE_IDLE_TIMEOUT_MS env
Stop a run after this many ms with no Codex output. Default: 600000
CODEX_BRIDGE_PLAN_MODEL env
Model for codex_plan. Default: your Codex config.
CODEX_BRIDGE_PLAN_EFFORT env
Reasoning effort for codex_plan. Default: your Codex config.
CODEX_BRIDGE_IMAGE_MODEL env
Model for codex_image. Default: gpt-6-luna
CODEX_BRIDGE_IMAGE_EFFORT env
Reasoning effort for codex_image. Default: high

이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.

할 수 있는 일

내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.

기본 점검i

누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검

✓ 통과
제작자와 저장소 일치
레지스트리 이름이 GitHub 계정 xallindrome-labs 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
… 아직 점검 안 함
계속 관리되고 있음
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
… 아직 점검 안 함
라이선스 있음
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
– 해당 없음
엔드포인트 응답
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
– 해당 없음
OAuth로 로그인
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
… 아직 점검 안 함
도구 설명에 숨겨진 지시 없음
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요

기타 카테고리의 다른 서버와 비교i

이 카테고리의 다른 서버 32661개 중 0%보다 스타가 많아요
이 카테고리의 다른 서버 32661개 중 71%보다 최근에 레지스트리에 공개됐어요
기본 점검 결과가 이 카테고리의 다른 서버 32661개 중 100%와 같거나 더 좋아요

레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.

자주 묻는 질문

codex-bridge, 안전한가요?

해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.

어떤 키나 코드가 필요한가요?

레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.

내 컴퓨터에서 실행되나요, 클라우드에서 실행되나요?

내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).

아직 관리되고 있나요?

GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.1.0)은 15일 전 레지스트리에 올라왔어요.

어떤 앱에서 쓸 수 있나요?

Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.

대신 쓸 수 있는 건 뭐가 있나요?

같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, Claude Checkpoint MCP

대안

같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.

카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i

Spec Driven Development

제작자: formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

내 컴퓨터에서 실행★ 440MIT14개월 전 업데이트

설치

Remote Desktop Commander

제작자: desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

클라우드에서 실행★ 211그저께 업데이트

설치

Claude Checkpoint MCP

제작자: daniel-munoz

MCP server that checkpoints Claude Code session context to survive crashes and token limits

내 컴퓨터에서 실행오늘 업데이트

설치

제작자의 README

README 열기

제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.

codex-bridge

Codex jobs for Claude Code that survive crashes, closed windows and reboots, with Codex image generation built in. A dependency-free MCP server built Windows-first: every call is a job saved on disk, so you can close Claude, lose power, or kill a process, and pick the work up again with codex_resume.

Roles: Claude Code implements. Codex plans and builds images. Optionally (opt-in, one folder), Codex can also write code while Claude reviews: see Let Codex write code. And an optional pane beside the chat lists your jobs live and shows your Codex usage and when it resets: see Codex jobs pane.

The server calls in this recording are real (Codex at effort: low, idle time trimmed); the claude mcp add line is scripted. The raw recording is docs/demo.cast; play it with asciinema play docs/demo.cast.

Quickstart

You need Node.js 20 or newer and the Codex CLI installed and logged in.

claude mcp add codex-bridge -- npx -y @xallindrome-labs/codex-bridge

Restart Claude Code, then ask it something like *"Get a plan from Codex for adding rate limiting, in the background, and keep going"*. Claude will call codex_plan with background: true and collect the answer later.

Other MCP clients: run npx -y @xallindrome-labs/codex-bridge as a stdio server.

Platform note: developed and tested on Windows 11, where real Codex jobs have been run. CI checks on Linux, macOS and Windows (Node 20 and 22) that the server starts, speaks MCP and works when installed from the npm tarball, and on Linux and macOS that jobs run, finish and survive the server being killed, using a fake codex. CI has no real Codex CLI, so real Codex jobs on macOS and Linux are untested. Reports and fixes are welcome.

Tool	What it does	Sandbox	Default model / effort
`codex_plan`	Codex writes implementation plans, design reviews and second opinions. It inspects the project in `cwd`.	`read-only` (always)	Your Codex config defaults
`codex_image`	Codex generates or edits images. The bridge copies each one into `output_dir` as soon as it's made.	`read-only` (always)	gpt-6-luna / high
`codex_code`	Off by default. Codex implements a change by editing files in one folder you choose. See below.	`workspace-write`, that folder only, no network	Your Codex config defaults
`codex_result`	Gets a job's result or progress (`wait_seconds` up to 240), or lists recent jobs.
`codex_resume`	Continues an interrupted, timed-out or failed job from where it stopped.
`codex_cancel`	Stops a running job.

codex_plan, codex_image and codex_code accept:

effort: low, medium, high, xhigh, max or ultra (Luna supports up to max).
model: overrides the default model for that call.
background: true: returns a job_id immediately so Claude can keep working.
session_id: continues an earlier Codex thread, for example "make the icon darker".

codex_image also takes count, the number of images wanted. Set it for batches: it enables k/count progress and resumes that ask for exactly the missing images.

Let Codex write code (opt-in)

By default Codex can only read. If you want it to implement things while Claude reviews, name the one folder it may edit:

claude mcp add codex-bridge -e CODEX_BRIDGE_WRITE_ROOT=/path/to/your/project -- npx -y @xallindrome-labs/codex-bridge

Restart Claude Code and a fourth tool, codex_code, appears. Ask for it in plain words: *"Have Codex implement the plan in the background, then review its diff."*

One folder. cwd must be CODEX_BRIDGE_WRITE_ROOT or inside it. Anything else is refused, checked on real paths so .. and symlinks don't escape. A drive root or your home folder is refused as too broad.
No network, no commits. Codex runs with network access off and is told to leave changes uncommitted so you can see them in git diff. The no-commit rule is a prompt, not a sandbox rule.
Claude reviews. Every codex_code result ends with a reminder to read the diff before accepting it. A failed or cancelled run says Codex may have left partial edits.
Same job machinery. It survives restarts, background: true and codex_resume work the same way, and a resume re-checks the folder rule.
Temp files. In our test on Windows 11, writes outside the folder and network access were blocked, but the system temp folder stayed writable. Treat temp as writable. CODEX_BRIDGE_WRITE_ALLOW_TMP=1 stops asking Codex to block it.
Don't edit the same files yourself while a codex_code job runs.

Unset the variable and restart, and the tool is gone; codex_plan and codex_image are always read-only.

Codex jobs pane

An optional add-on that opens a pane beside the Claude Code chat listing your Codex jobs live: running, done, interrupted, with age, request and images k/n for batches. It also shows your Codex usage: the 5-hour and weekly windows, percent used, when each resets, and how many images were generated in each (Codex has one shared meter, so images use the same limits). It only reads the job files on disk, so it shows jobs from any session, including ones that kept running after you closed Claude. It also puts codex: N running in the status line and shows a toast when a job you watched finishes.

At the prompt of a terminal Claude Code session:

/plugin install codex-jobs --marketplace xallindrome-labs/codex-bridge

In the desktop app, where /plugin does not run: click + next to the prompt box, then Plugins, Add marketplace with xallindrome-labs/codex-bridge, then Add plugin. Without a marketplace, for one session: claude --plugin-dir "$(npx -y @xallindrome-labs/codex-bridge --pane-path)".

Then type /codex-jobs. It also opens by itself the first time a job is running in a session. Details and how it works are in plugins/codex-jobs. It needs a Claude Code build that supports mods; it is tested against the engine's own test kit, not every surface's paint.

How it compares

OpenAI's codex-plugin-cc is the official way to use Codex from Claude Code, and it's good at what it does: slash commands for review and rescue. codex-bridge is an MCP server instead, with a different focus: jobs that don't get lost, and images.

Several open issues in the plugin's tracker are about jobs getting lost, and codex-bridge is designed to avoid each of them. These come from reading the designs, not from a head-to-head test:

Reported in codex-plugin-cc	How codex-bridge handles it
Background job shows "running" forever after its worker dies (#704, #699)	Status is worked out from files on disk plus a heartbeat and a process check. A dead runner shows as `interrupted`, never "running", and `codex_resume` continues it.
Windows `cancel` silently fails (#708)	Cancel writes a marker file; the runner that owns the Codex process sees it within about 2 seconds and stops the process tree by calling `taskkill.exe` directly, with no shell in between.
Windows broker processes leak (#718, #782)	There is no shared broker. Each attempt is one runner process that exits when Codex does.
One session ending kills other sessions' jobs (#671)	Runners are started outside Claude's process tree (via WMI on Windows), so closing a session can't take them down.

What the plugin does that this doesn't: slash commands, and its review-gate and rescue workflows. And this one is newer, with far fewer users. If the plugin works for you, keep using it. If you've lost jobs, or want Codex to generate images that survive a crash, try this.

Jobs survive restarts

Every call is a job saved under ~/.codex-bridge/jobs/ /, including calls that aren't run in the background.

Claude closes or crashes: the job keeps running. server.mjs starts runner.mjs through WMI (Win32_Process.Create), so the job isn't part of Claude Code's process tree. Closing Claude can't kill it, and any later Claude session can collect it with codex_result.
The job itself dies (reboot, power loss, Codex crash, or killed process): the job is marked interrupted. The next Claude session is told about it when it starts. codex_resume continues it:

It copies out any images generated just before the interruption.
It resumes the same Codex thread: "N are already done, generate only the remaining ones."
If no Codex thread had started yet, it reruns the original request.

How images are collected

Codex never writes image files. Its image tool stores every generated image in ~/.codex/generated_images/ /. The runner checks that folder every 2 seconds and copies new images into output_dir as .png, -2.png, and so on, in the order they were made. copied.json in the job folder records what has been copied, so an image is never copied twice across attempts.

This gives three benefits:

Image jobs run in a read-only sandbox.
A crash loses at most the one image being generated.
Resume counts exactly what's done.

It also avoids a real problem: when Luna was allowed to save files itself, it re-typed each image as base64 through dozens of shell commands. That was slow, and the saved file no longer matched the original.

Codex stalls: the runner stops a run after 10 minutes with no output. The job is marked timed_out, and it can be resumed.

Each attempt keeps its own prompt.txt, events.jsonl (the Codex event stream), stderr.txt, heartbeat and result.json. Finished jobs are deleted after 14 days.

How it works

Each attempt runs codex exec --json (or codex exec resume ) with the prompt on stdin. No shell is involved.

Every call runs read-only, except codex_code when you have opted in (it runs workspace-write in your one folder, with network off). New sessions pass -s read-only plus -c sandbox_mode="read-only"; resumed sessions pass -c sandbox_mode="read-only" (codex exec resume takes no -s). Your Codex config may default to danger-full-access, but that default never applies to bridge calls. The plan smoke test checks that a write attempted from a resumed session fails.

File	Role
`server.mjs`	The MCP server. It creates jobs, launches runners, works out job status from the files on disk, and handles resume and cancel.
`runner.mjs`	Runs one attempt: starts Codex, records the heartbeat, watches for a stall or cancellation, collects images and writes `result.json`.
`lib.mjs`	Shared helpers: finding the Codex binary, building arguments, parsing events, handling images.

Install options

# for all your projects

claude mcp add -s user codex-bridge -- npx -y @xallindrome-labs/codex-bridge

or from a local checkout

claude mcp add codex-bridge -- node /path/to/codex-bridge/server.mjs

Remove it with claude mcp remove codex-bridge (add -s user if you installed it that way).

Configuration (env vars)

Var	Default
`CODEX_BIN`	Auto-detected. It prefers a `codex.exe` next to `codex-code-mode-host.exe`, which is currently `~/.codex/plugins/.plugin-appserver/codex.exe`.
`CODEX_BRIDGE_HOME`	`~/.codex-bridge`

| CODEX_BRIDGE_IDLE_TIMEOUT_MS | `600

앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요

codex-bridge

개요

PopNx MCP의 세 기둥

할 수 있는 일

설치

설치하기 전에

직접 입력할 값

할 수 있는 일

기본 점검i

제작자와 저장소 일치

계속 관리되고 있음

라이선스 있음

엔드포인트 응답

OAuth로 로그인

도구 설명에 숨겨진 지시 없음

기타 카테고리의 다른 서버와 비교i

자주 묻는 질문

대안

Spec Driven Development

Remote Desktop Commander

Claude Checkpoint MCP

제작자의 README

codex-bridge

Quickstart

Let Codex write code (opt-in)

Codex jobs pane

How it compares

Jobs survive restarts

How images are collected

How it works

Install options

or from a local checkout

Configuration (env vars)