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Codexify

Turn ChatGPT into a Codex-like coding environment — without using your Codex/Work quota.

Codexify gives a regular ChatGPT conversation the tools to work on your projects: file editing, terminal commands, Git, interactive diffs, and reusable skills. Describe a task, let ChatGPT inspect the code, make changes and run tests, then review the result — all from the same conversation.

ChatGPT does the reasoning; your machine runs the tools. Codexify connects them through Model Context Protocol (MCP), rather than running a Codex agent or starting a ChatGPT Work task. The normal workflow uses your ChatGPT allowance, leaving your Codex/Work quota untouched.

ChatGPT's own usage limits still apply. If you explicitly invoke Codex, Work, or another metered service through connected tools, that service's usage counts normally.

Get started · Documentation · Website · Downloads

A Codex-like workflow in ChatGPT

  • Explore, edit, and test. Search a codebase, apply patches, run your project's tests, and inspect the results.
  • Review the work. See file changes in an interactive diff card, and exchange attachments and generated files with ChatGPT.
  • Keep projects organized. Connect one repository or choose a project for each conversation. Optional Git worktrees keep concurrent edits in separate checkouts.
  • Bring your conventions. Load AGENTS.md and skills, and save task notes and plans for later conversations.
  • Connect more tools. Make local or remote MCP servers available through the same connector, including servers configured in Codex.

Get started

Codexify runs on macOS, Linux, and Windows. You need a ChatGPT account or workspace with custom MCP apps enabled and access to OpenAI Secure MCP Tunnels in an OpenAI Platform organization. ChatGPT access and tunnel permissions are separate; a workspace administrator may need to grant them.

1. Install

macOS / Linux

curl -q -fsSL https://codexify.dev/install.sh | sh

Windows PowerShell

powershell -ExecutionPolicy ByPass -c "irm https://codexify.dev/install.ps1 | iex"

The installer verifies the downloaded binary's checksum and sets up a per-user background service. No Rust toolchain is needed. Open a new terminal after it finishes so the codexify command is available.

Prefer a manual install? Get a prebuilt binary or read the installation guide. The installer source is available for macOS/Linux and Windows.

2. Connect to ChatGPT

codexify quickstart

The wizard guides you through choosing a project directory, creating a tunnel and its runtime API key, and adding the connector in ChatGPT. It prints the links and exact settings to use, saves your configuration, and starts the connection. Keep Codexify running while you use it; the background service handles that for a standard installation.

This setup uses an outbound OpenAI tunnel: you do not need a public server URL or an inbound port. For other deployments, see connection options.

3. Start a task

Start a regular Chat conversation in ChatGPT, not a Work or Codex task, and select the connector you created. If you enabled multiple projects, give ChatGPT the project path or choose one when asked. Start with a read-only request:

Call get_agent_brief and follow the project's instructions.
Explain how this project is organized. Do not change any files.

Then ask for a concrete change, for example:

Fix the failing test, run it again, and show me the diff. Do not commit yet.

A conversation stays attached to its selected project. Start another chat for a different project; see the workspace guide for project selection and worktree options.

Use it safely

Codexify runs real commands with your user account's permissions. Shell execution is unrestricted by default. Project boundaries and Git worktrees are not an operating-system sandbox, and commands can reach beyond the project.

Start with a trusted repository, review requested actions, and keep credentials out of chats and version control. A private tunnel keeps the MCP endpoint off the public internet; it does not make inference local. Code and tool results returned to ChatGPT are sent to OpenAI.

See the security reference for access controls, command restrictions, and the authority of connected MCP servers.

Help and everyday use

Task Command
Check configuration and connectivity codexify doctor
Follow the service log codexify service logs -f
Stop the background service codexify service disable
Start it again codexify service enable

To update a standard installation, ask ChatGPT to update Codexify. After the service restarts, open the connector in ChatGPT Settings and click Refresh at the bottom of its tool list. The update guide explains the process.

For setup problems, start with Troubleshooting. Report reproducible bugs in GitHub Issues.

Documentation

Looking for... Read
Setup and usage guides Wiki
CLI options, configuration, and tool behavior Technical reference
Additional MCP servers and reusable workflows MCP bridging · Skills
Building or contributing Architecture · Development commands

License

MIT. Codexify is an independent project, not affiliated with OpenAI.

Related projects

ChatGPT connectors and local MCP servers

These connect a ChatGPT conversation to tools on your machine, as Codexify does.

Project Focus
CodexPro Local coding tools, attachment import, and handoff plans.
local-dev-mcp Registered projects with file, Git, shell, browser, and mobile tools.
codex-free Rust MCP bridge with coding tools, saved context, skills, and MCP aggregation.
chatgpt-web-oauth-mcp OAuth connector with background jobs, terminal sessions, and optional CLI-agent delegation.
Agentic MCP Structured editing, Git worktrees, semantic navigation, and checkpoints.
Local Coding Agent MCP workspace with desktop tray apps, a dashboard, and browser-preview tools.

Browser harnesses and Codex model providers

These bring web-chat models into a coding client rather than making ChatGPT the primary interface.

Project Focus
codex-chatgpt-web ChatGPT Web as selectable Codex models through an embedded browser, with optional access to the active Codex task's tools.

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Bring Codex inside ChatGPT for unlimited vibecoding — no Codex quota used!

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