mirror of
https://github.com/openai/codex.git
synced 2026-04-26 23:55:25 +00:00
Indicate why MCP servers are disabled when they are disabled by
requirements:
```
➜ codex git:(main) ✗ just codex mcp list
cargo run --bin codex -- "$@"
Finished `dev` profile [unoptimized + debuginfo] target(s) in 0.27s
Running `target/debug/codex mcp list`
Name Command Args Env Cwd Status Auth
docs docs-mcp - - - disabled: requirements (MDM com.openai.codex:requirements_toml_base64) Unsupported
hello_world hello-world-mcp - - - disabled: requirements (MDM com.openai.codex:requirements_toml_base64) Unsupported
➜ codex git:(main) ✗ just c
cargo run --bin codex -- "$@"
Finished `dev` profile [unoptimized + debuginfo] target(s) in 0.90s
Running `target/debug/codex`
╭─────────────────────────────────────────────╮
│ >_ OpenAI Codex (v0.0.0) │
│ │
│ model: gpt-5.2 xhigh /model to change │
│ directory: ~/code/codex/codex-rs │
╰─────────────────────────────────────────────╯
/mcp
🔌 MCP Tools
• No MCP tools available.
• docs (disabled)
• Reason: requirements (MDM com.openai.codex:requirements_toml_base64)
• hello_world (disabled)
• Reason: requirements (MDM com.openai.codex:requirements_toml_base64)
```
codex-core config loader
This module is the canonical place to load and describe Codex configuration layers (user config, CLI/session overrides, managed config, and MDM-managed preferences) and to produce:
- An effective merged TOML config.
- Per-key origins metadata (which layer “wins” for a given key).
- Per-layer versions (stable fingerprints) used for optimistic concurrency / conflict detection.
Public surface
Exported from codex_core::config_loader:
load_config_layers_state(codex_home, cwd_opt, cli_overrides, overrides) -> ConfigLayerStackConfigLayerStackeffective_config() -> toml::Valueorigins() -> HashMap<String, ConfigLayerMetadata>layers_high_to_low() -> Vec<ConfigLayer>with_user_config(user_config) -> ConfigLayerStack
ConfigLayerEntry(one layer’s{name, config, version};namecarries source metadata)LoaderOverrides(test/override hooks for managed config sources)merge_toml_values(base, overlay)(public helper used elsewhere)
Layering model
Precedence is top overrides bottom:
- MDM managed preferences (macOS only)
- System managed config (e.g.
managed_config.toml) - Session flags (CLI overrides, applied as dotted-path TOML writes)
- User config (
config.toml)
This is what ConfigLayerStack::effective_config() implements.
Typical usage
Most callers want the effective config plus metadata:
use codex_core::config_loader::{load_config_layers_state, LoaderOverrides};
use codex_utils_absolute_path::AbsolutePathBuf;
use toml::Value as TomlValue;
let cli_overrides: Vec<(String, TomlValue)> = Vec::new();
let cwd = AbsolutePathBuf::current_dir()?;
let layers = load_config_layers_state(
&codex_home,
Some(cwd),
&cli_overrides,
LoaderOverrides::default(),
).await?;
let effective = layers.effective_config();
let origins = layers.origins();
let layers_for_ui = layers.layers_high_to_low();
Internal layout
Implementation is split by concern:
state.rs: public types (ConfigLayerEntry,ConfigLayerStack) + merge/origins convenience methods.layer_io.rs: readingconfig.toml, managed config, and managed preferences inputs.overrides.rs: CLI dotted-path overrides → TOML “session flags” layer.merge.rs: recursive TOML merge.fingerprint.rs: stable per-layer hashing and per-key origins traversal.macos.rs: managed preferences integration (macOS only).