C2C Bridge
Allows ChatGPT web to act as a planning and review brain for coding sessions by securely reading local workspace files, git status/diffs, and test results through a read-only MCP bridge.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@C2C BridgeReview the current git diff and suggest improvements before I continue."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Codex with ChatGPT
ChatGPT thinks. Codex works. ChatGPT 负责思考,Codex 负责干活。
The problem · 解决什么问题
中文 — ChatGPT 付费订阅的网页版额度大量闲置,Codex 却在消耗紧张的 API 额度做规划和 Review。本项目把"思考"交给你已付费的网页版 ChatGPT, Codex 只负责执行。不用 API Key、不搞逆向代理——官方网页 + 只读 MCP 桥接。
EN — ChatGPT Plus/Pro web quota sits idle while your coding agent burns scarce API/Codex tokens on planning and review. This project moves the thinking to the subscription you already pay for; Codex only executes. No API keys, no reverse proxy — official web UI plus a read-only MCP bridge.
Related MCP server: Local Supervisor Bridge
What it is · 这是什么
中文 — 把 ChatGPT 网页版变成 Codex 编码会话的"规划与审查大脑",执行权 完全保留在 Codex 手里。你的仓库永远不会被上传:ChatGPT 通过一条安全的、 OAuth 保护的只读 MCP 连接,按需读取当前工作区里它真正需要的那几行代码。
EN — Use the ChatGPT web app as the planning and review brain for your Codex coding sessions, while Codex keeps full ownership of execution. Your repository is never uploaded: ChatGPT reads exactly the lines it needs through a secure, OAuth-protected, read-only MCP connection to your current workspace.
Detailed docs below are in English · 详细中文文档见 README.zh-CN.md
One-paste install · 一段话安装
中文 — 不懂 git、Node、终端?完全不需要懂。把下面这段话原样复制给你的 编码 Agent(Codex),然后去倒杯咖啡:
请帮我完整安装并配置 Codex with ChatGPT,全程自动,我是不懂技术的小白,
所有事情你自己做:
1. 环境自检:需要 git 和 Node.js ≥ 20,缺什么就自动安装
(macOS 用 Homebrew,Windows 用 winget),同时安装 cloudflared。
2. 下载:把 https://github.com/XiaoDuoYa/codex-with-chatgpt 克隆到
~/codex-with-chatgpt(已存在就 git pull 更新)。
3. 构建:在该目录里执行 corepack pnpm install 和 corepack pnpm build。
4. 安装 Skill:把仓库里的 skill/SKILL.md 复制到
~/.codex/skills/codex-with-chatgpt/SKILL.md,并把文件中
"The codex-with-chatgpt checkout lives at:" 那一行的路径改成实际克隆路径。
5. 首次配置:按 SKILL.md 里的 first-time setup 流程执行
(运行 c2c setup,用内置浏览器打开 ChatGPT 配置连接器并输入配对码)。
全程只用内置浏览器,禁止打开任何第三方浏览器。
6. 只有遇到需要我登录(ChatGPT / Cloudflare)、验证码或两步验证时才叫我,
而且一次只告诉我一个动作。
7. 完成后给我看 ✓ 清单,并确认文件读取测试通过。我不懂 MCP、OAuth、
Tunnel、端口这些词,不要向我解释;出了问题先自己修。EN — Don't know git, Node, or terminals? You don't need to. Copy the paragraph below, paste it to your coding agent (Codex), and go grab a coffee:
Please install and configure "Codex with ChatGPT" for me, fully automatically.
I am a non-technical user — do everything yourself:
1. Check the environment: git and Node.js >= 20 must be available. Install
anything missing yourself (macOS: Homebrew, Windows: winget). Also install
cloudflared.
2. Download: clone https://github.com/czstudio/codex-with-chatgpt-pro into
~/codex-with-chatgpt (if it already exists, git pull to update).
3. Build: inside that folder run `corepack pnpm install` then `corepack pnpm build`.
4. Install the Skill: copy skill/SKILL.md to
~/.codex/skills/codex-with-chatgpt/SKILL.md, and update the line
"The codex-with-chatgpt checkout lives at:" to the actual clone path.
5. First-time setup: follow the SKILL.md "first-time setup" workflow
(run c2c setup, configure the ChatGPT connector in the BUILT-IN browser,
enter the pairing code). Never open a third-party browser.
6. Only interrupt me for logins (ChatGPT / Cloudflare), CAPTCHAs or 2FA —
and give me exactly ONE action at a time.
7. When done, show me the ✓ checklist and confirm the file-read test passed.
I don't know what MCP, OAuth, tunnels or ports are. Don't explain them.
If anything breaks, fix it yourself first.Updates · 更新 — The Skill checks GitHub once a day and updates itself when a new version is released; no action needed. You can also say "更新 Codex with ChatGPT" anytime. / Skill 每天自动检查一次 GitHub,有新版本会自动更新,无需任何操作; 也可以随时对 Codex 说"更新 Codex with ChatGPT"。
The sections below are in English. 以下详细内容为英文,中文完整版见 README.zh-CN.md。
Install → Setup → Use (manual)
One-command installer
macOS (Homebrew installed):
curl -fsSL https://raw.githubusercontent.com/czstudio/codex-with-chatgpt-pro/main/scripts/install.sh | bashWindows 10/11 (PowerShell; uses winget):
irm https://raw.githubusercontent.com/czstudio/codex-with-chatgpt-pro/main/scripts/install.ps1 | iexThe installer checks prerequisites, builds the bridge, installs the Codex Skill, and configures its persistent app-state directory. It never uploads a repository or stores ChatGPT/Cloudflare credentials in the project.
Install the Codex Skill: copy
skill/to~/.codex/skills/codex-with-chatgpt/.Tell Codex: "Set up Codex with ChatGPT." (中文: "使用 Codex with ChatGPT 完成首次配置。")
Use Codex normally: "Use Codex with ChatGPT to implement XXX."
That's the whole manual. You don't need to know what MCP, OAuth, tunnels, ports or localhost are — Codex configures everything automatically and you just see:
Codex with ChatGPT
✓ Project detected
✓ Workspace Bridge started
✓ Secure connection established
✓ ChatGPT connected
✓ File read test passed
Ready.The only step that may need you: logging into ChatGPT (and, if you want a stable hostname, logging into Cloudflare once).
Optional stable hostname
The default public address is a temporary Cloudflare URL. It changes when the bridge restarts, and Codex repairs ChatGPT by deleting that workspace's connector and adding it again.
If you have a Cloudflare account and a domain already on Cloudflare, first-time
setup (and the next coding session, once) will ask whether you want a stable
hostname such as c2c-<project>.your-domain.com. That path opens a browser so
you can authorize Cloudflare. After that, the ChatGPT connector keeps working
across restarts. If you skip it, or login fails, Codex stays on the temporary
address — same features, just a slower repair.
Credentials stay in the OS app state directory, not in the project.
How it works
┌───────────────────────────┐
│ ChatGPT Web │
│ Reason / Plan / Review │
└──────────┬──────────▲─────┘
│ │
MCP │ │ Computer Use
Data Plane │ │ Control Plane (<1 KB messages)
▼ │
┌─────────────────────┐
│ C2C Bridge │ loopback-only HTTP server
│ read-only MCP │ OAuth 2.1 + one-time pairing code
│ OAuth + Pairing │ Cloudflare Quick Tunnel
│ Tunnel Manager │
└──────────┬──────────┘
│ read-only
▼
┌─────────────────────┐ ┌─────────────────────┐
│ Local Workspace │◀─────────│ Codex Harness │
└─────────────────────┘ edit/git │ shell / tests / fix │
└─────────────────────┘Control plane (Computer Use): Codex and ChatGPT exchange tiny structured
[C2C]state messages —INIT → PLAN → EXECUTED → REVIEW → DONE. No diffs, no logs, no file bodies are ever pasted.Data plane (MCP): ChatGPT pulls what it needs itself through 8 read-only tools:
workspace_info,list_directory,read_file,search_workspace,git_status,git_diff,test_status,execution_summary.Independent review: after Codex executes, ChatGPT inspects the actual git diff and test records through MCP — it never trusts "all tests passed" claims blindly.
Recoverable task cursor: compact task-bound checkpoints preserve the current state, known issues, and next step across compaction or chat handoff.
Fail-closed evidence gate: C2C cannot claim DONE without matching execution, tests, and review checkpoint evidence. It returns non-zero when incomplete and also blocks on malformed, conflicting, unknown-schema, or oversized audit data. It remains local protocol enforcement—not authoritative project state.
Security model (short version)
Read-only by construction: write/delete/shell/commit tools simply do not exist on the server. No prompt injection can enable them.
One workspace = one boundary: every token is bound to a single workspace; path containment uses canonical realpaths (symlink/
..//absolute-path escapes are all blocked and tested).Sensitive files never leave:
.env*, keys, SSH, credentials are denied by default (.env.exampleallowed);.c2cignoreadds your own rules.Knowing the URL grants nothing: the public MCP endpoint requires OAuth 2.1 (PKCE S256, dynamic client registration, rotating refresh tokens). Without a token: 401. Wrong workspace: 403.
The model never sees long-lived credentials: the only secret that ever touches a browser is a one-time pairing code (5-minute TTL, 5 attempts, rate-limited, destroyed on use).
Full threat model: docs/security.md
For developers
pnpm install
pnpm build # -> dist/, exposes the `c2c` bin
pnpm test # path security, OAuth, pairing, recovery and MCP e2e
c2c setup # bridge + tunnel + pairing code, all in one
c2c sandbox-allow # whitelist the settings dir in Codex (macOS + Windows)
c2c status / doctor / pair / unpair / logs / stopRequirements: Node.js >= 20, git. cloudflared for the public connection
(auto-detected; the Skill installs it for you).
Docs: architecture · protocol · security · troubleshooting
Project layout
src/
bridge/ loopback HTTP server, port recovery, admin API
mcp/ 8 read-only tools, stateless Streamable HTTP
auth/ OAuth 2.1 (PKCE, DCR, refresh rotation, revocation)
pairing/ one-time pairing codes (CSPRNG, TTL, rate limits)
workspace/ path containment, sensitive-file policy, search, git
tunnel/ TunnelProvider abstraction + Cloudflare Quick/Named Tunnel
execution/ execution records for the review loop
process/ daemon lifecycle
cli/ the c2c CLI
skill/ the Codex Skill (the real UX layer)
tests/ unit + integration tests
docs/ architecture / protocol / security / troubleshootingStatus & disclaimer
V1. Verified end-to-end: bridge, OAuth + pairing, public tunnel, ChatGPT connector setup, zero-touch first-run experience.
Unofficial community project. Not affiliated with or endorsed by OpenAI.
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