Fixes [#8889](https://github.com/openai/codex/issues/8889). ## Summary - Discover and use advertised MCP OAuth `scopes_supported` when no explicit or configured scopes are present. - Apply the same scope precedence across `mcp add`, `mcp login`, skill dependency auto-login, and app-server MCP OAuth login. - Keep discovered scopes ephemeral and non-persistent. - Retry once without scopes for CLI and skill auto-login flows if the OAuth provider rejects discovered scopes. ## Motivation Some MCP servers advertise the scopes they expect clients to request during OAuth, but Codex was ignoring that metadata and typically starting OAuth with no scopes unless the user manually passed `--scopes` or configured `server.scopes`. That made compliant MCP servers harder to use out of the box and is the behavior described in [#8889](https://github.com/openai/codex/issues/8889). This change also brings our behavior in line with the MCP authorization spec's scope selection guidance: https://modelcontextprotocol.io/specification/2025-11-25/basic/authorization#scope-selection-strategy ## Behavior Scope selection now follows this order everywhere: 1. Explicit request scopes / CLI `--scopes` 2. Configured `server.scopes` 3. Discovered `scopes_supported` 4. Legacy empty-scope behavior Compatibility notes: - Existing working setups keep the same behavior because explicit and configured scopes still win. - Discovered scopes are never written back into config or token storage. - If discovery is missing, malformed, or empty, behavior falls back to the previous empty-scope path. - App-server login gets the same precedence rules, but does not add a transparent retry path in this change. ## Implementation - Extend streamable HTTP OAuth discovery to parse and normalize `scopes_supported`. - Add a shared MCP scope resolver in `core` so all login entrypoints use the same precedence rules. - Preserve provider callback errors from the OAuth flow so CLI/skill flows can safely distinguish provider rejections from other failures. - Reuse discovered scopes from the existing OAuth support check where possible instead of persisting new config. |
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| .devcontainer | ||
| .github | ||
| .vscode | ||
| codex-cli | ||
| codex-rs | ||
| docs | ||
| patches | ||
| scripts | ||
| sdk | ||
| shell-tool-mcp | ||
| third_party | ||
| .bazelignore | ||
| .bazelrc | ||
| .bazelversion | ||
| .codespellignore | ||
| .codespellrc | ||
| .gitignore | ||
| .markdownlint-cli2.yaml | ||
| .npmrc | ||
| .prettierignore | ||
| .prettierrc.toml | ||
| AGENTS.md | ||
| announcement_tip.toml | ||
| BUILD.bazel | ||
| CHANGELOG.md | ||
| cliff.toml | ||
| defs.bzl | ||
| flake.lock | ||
| flake.nix | ||
| justfile | ||
| LICENSE | ||
| MODULE.bazel | ||
| MODULE.bazel.lock | ||
| NOTICE | ||
| package.json | ||
| pnpm-lock.yaml | ||
| pnpm-workspace.yaml | ||
| rbe.bzl | ||
| README.md | ||
| SECURITY.md | ||
| workspace_root_test_launcher.bat.tpl | ||
| workspace_root_test_launcher.sh.tpl | ||
npm i -g @openai/codex
or brew install --cask codex
Codex CLI is a coding agent from OpenAI that runs locally on your computer.
If you want Codex in your code editor (VS Code, Cursor, Windsurf), install in your IDE.
If you want the desktop app experience, run
codex app or visit the Codex App page.
If you are looking for the cloud-based agent from OpenAI, Codex Web, go to chatgpt.com/codex.
Quickstart
Installing and running Codex CLI
Install globally with your preferred package manager:
# Install using npm
npm install -g @openai/codex
# Install using Homebrew
brew install --cask codex
Then simply run codex to get started.
You can also go to the latest GitHub Release and download the appropriate binary for your platform.
Each GitHub Release contains many executables, but in practice, you likely want one of these:
- macOS
- Apple Silicon/arm64:
codex-aarch64-apple-darwin.tar.gz - x86_64 (older Mac hardware):
codex-x86_64-apple-darwin.tar.gz
- Apple Silicon/arm64:
- Linux
- x86_64:
codex-x86_64-unknown-linux-musl.tar.gz - arm64:
codex-aarch64-unknown-linux-musl.tar.gz
- x86_64:
Each archive contains a single entry with the platform baked into the name (e.g., codex-x86_64-unknown-linux-musl), so you likely want to rename it to codex after extracting it.
Using Codex with your ChatGPT plan
Run codex and select Sign in with ChatGPT. We recommend signing into your ChatGPT account to use Codex as part of your Plus, Pro, Team, Edu, or Enterprise plan. Learn more about what's included in your ChatGPT plan.
You can also use Codex with an API key, but this requires additional setup.
Docs
This repository is licensed under the Apache-2.0 License.